Supercomputing amp Design

Professor Simon Cox Associate Dean Enterprise Faculty of Engineering and the Environment 24th July 2012 sjcsotonacuk

Faculty of Engineering and the Environment

Faculty of Engineering and the Environment

Aeronautics Astronautics and Computational Engineering

Prof Keane - Head of AACE Unit Prof Simon Cox Chair Computational Engineering and Design Group Associate Dean Enterprise

Faculty of Engineering and the Environment

AACE Overview

bull Three research groups (aeronautics amp flight mechanics astronautics and computational engineering amp design) Head of Unit Prof Keane

bull 30 members of academic staff holding pound13m of research grants

bull Three major research centres (Airbus Noise Technology Centre R-R UTC for Computational Engineering Microsoft Institute for HPC)

bull Nearly 80 PhD and EngD students under supervision (major partner in DTC for Complexity)

bull Linked to highly successful undergraduate and MSc teaching programmes (100 student satisfaction in 2008 National Student Survey for Aeronautics-Astronautics course Royal Academy of EngineeringExxonmobil Excellence in Engineering Teaching Award)

3

Faculty of Engineering and the Environment

Design Exemplars Computational Engineering and Design Research Group

Faculty of Engineering and the Environment

5

Rolls-Royce UTC in Computational Engineering

PIs Keane amp Scanlan 5 Academic staff 9 Research fellows 11 EngDPhDs pound12m per annum external funding (EUUK GovtEPSRC) Close integration with Rolls-Royce RampT objectives

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Faculty of Engineering and the Environment

Aeronautics Astronautics and Computational Engineering

Prof Keane - Head of AACE Unit Prof Simon Cox Chair Computational Engineering and Design Group Associate Dean Enterprise

Faculty of Engineering and the Environment

AACE Overview

bull Three research groups (aeronautics amp flight mechanics astronautics and computational engineering amp design) Head of Unit Prof Keane

bull 30 members of academic staff holding pound13m of research grants

bull Three major research centres (Airbus Noise Technology Centre R-R UTC for Computational Engineering Microsoft Institute for HPC)

bull Nearly 80 PhD and EngD students under supervision (major partner in DTC for Complexity)

bull Linked to highly successful undergraduate and MSc teaching programmes (100 student satisfaction in 2008 National Student Survey for Aeronautics-Astronautics course Royal Academy of EngineeringExxonmobil Excellence in Engineering Teaching Award)

3

Faculty of Engineering and the Environment

Design Exemplars Computational Engineering and Design Research Group

Faculty of Engineering and the Environment

5

Rolls-Royce UTC in Computational Engineering

PIs Keane amp Scanlan 5 Academic staff 9 Research fellows 11 EngDPhDs pound12m per annum external funding (EUUK GovtEPSRC) Close integration with Rolls-Royce RampT objectives

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

AACE Overview

bull Three research groups (aeronautics amp flight mechanics astronautics and computational engineering amp design) Head of Unit Prof Keane

bull 30 members of academic staff holding pound13m of research grants

bull Three major research centres (Airbus Noise Technology Centre R-R UTC for Computational Engineering Microsoft Institute for HPC)

bull Nearly 80 PhD and EngD students under supervision (major partner in DTC for Complexity)

bull Linked to highly successful undergraduate and MSc teaching programmes (100 student satisfaction in 2008 National Student Survey for Aeronautics-Astronautics course Royal Academy of EngineeringExxonmobil Excellence in Engineering Teaching Award)

3

Faculty of Engineering and the Environment

Design Exemplars Computational Engineering and Design Research Group

Faculty of Engineering and the Environment

5

Rolls-Royce UTC in Computational Engineering

PIs Keane amp Scanlan 5 Academic staff 9 Research fellows 11 EngDPhDs pound12m per annum external funding (EUUK GovtEPSRC) Close integration with Rolls-Royce RampT objectives

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Design Exemplars Computational Engineering and Design Research Group

Faculty of Engineering and the Environment

5

Rolls-Royce UTC in Computational Engineering

PIs Keane amp Scanlan 5 Academic staff 9 Research fellows 11 EngDPhDs pound12m per annum external funding (EUUK GovtEPSRC) Close integration with Rolls-Royce RampT objectives

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

5

Rolls-Royce UTC in Computational Engineering

PIs Keane amp Scanlan 5 Academic staff 9 Research fellows 11 EngDPhDs pound12m per annum external funding (EUUK GovtEPSRC) Close integration with Rolls-Royce RampT objectives

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Typical Design Improvement Flowchart

6

Background

Effort

CAD

Meshing

CSM

Post

Processing

Results

Extraction

Optimiser

Geometry

Rule

Bases

Final

Design

Boundary

Conditions

Parametric

Base

Geometry

CFD

Initial

Design

Search

Uncertainty

Models

Costs PI Keane

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment Multi-fidelity Optimization

bull 12 geometry variables

bull 10 full car RANS simulations 15h each

bull 120 rear wing only RANS simulations 15h each

7 PI Keane

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Multi-scale modelling for nanotechnology

bull Hans Fangohr

bull Nanotechnology length scales are close to the atomic lattice spacings

bull Need to consider atomistic nature of matter to be accurate

bull Need to combine atomistic simulations with continuum approaches to make simulations feasible

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment Multi-physics modelling

for nanotechnology bull Relevant properties

bull magnetic

bull thermodynamic

bull conducting

bull mechanic

bull Optical

bull Crucial for Nanodevices to

consider these together

PI Fangohr

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Design Optimisation of Nanodevices

bull Magnetic storage sensors spintronics

bull Prototype fabrication expensive vs ldquocheaprdquo Simulation

bull Requires

ndash multi-scale simulations

ndash multi-physics simulations

bull Computational Design Optimisation highly beneficial PI Fangohr

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Multi-objective multi-disciplinary design (coronary stents)

Balloon expansion structural integrity Haemodynamics re-endothelialisation

Optimal design patient specific

Systematic design search and optimisation

Recover and maintain healthy blood flow Drug elution

control of restenosis

Flexibility conformability

Stress minimise artery wall damage

PI Bressloff

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

(1) httpwwweverydaychampionsorghospitalcardiac_cath_labphp (2) Stent design tool (NWBressloff) (3) httprohitsaxenawriteswordpresscomauthorrohitklar (4) httpwwwraydiancecomour-technology

(1) Cath Lab

(3) The Cloud

(2) Stent Design Tool (a virtual cath lab)

(4) Manufacture

Future cath-lab

PI Bressloff

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Airbus Noise Technology Centre (AFM Group)

PI Zhang

bull First Airbus-University Technology Centre in the World

bull Opened November 2008

bull Focussing on future aircraft technologies for noise reduction

bull Fifteen academic staff and research students

bull Computation and experiment

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

LES of noise generated by interaction of aircraft engine with

wing (ZhangHu)

Aircraft high-lift device noise generation and control

(ZhangHu)

High-speed train aeroacoustics (Hu amp Thompson (ISVR) )

Sample ANTC projects (AFM Group)

PI Zhang

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Under the Hood hellip tools technologies and platforms

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment Microsoft Institute for HPC

bull PI Cox

bull Workflow + HPC + Data

bull Centre for Fluid Mechanics Simulation (CFMS)

bull Flight simulation HPC

bull μVis ndash X-Ray CT Centre workflow and data management

bull Cloud amp Mobile computing ndash space situational awareness

bull Institutional and Large Scale Data Management

ndash Materials

ndash Chemistry

ndash Medicine

ndash Archaeology

ndash Engineering HPC Data 16

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Engineering Design - from the Desktop to the Enterprise

17

bull Engineering design demands integration of complex systems to set-up execute monitor post-process review and store computational processes data and knowledge

bull Research to tackle new challenges

bull Applied and customised commodity off-the-shelf Microsoft tools technologies and platforms

bull Collaboration with Rolls-Royce Airbus BAE Systems MBDA Microsoft others 20 Million Euro UK TSB (DTI) programme

Microsoft Institute for HPC

Southampton

ldquoWe demonstrate why where and how current and

future Microsoft tools and technologies can make the

engineering design process faster cheaper and betterrdquo

Launched by Bill Gates Nov 2005

Initial Research 1998

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Corporate review

Small group review

Individual review

Semantic structure search and reasoning

Wiki

Concept Computation

Robust reliable and scalable data

intensive collaboration

Airbus

Software + Services for connecting

engineers and experts to users and data

BAE Systems

Orchestration of gas turbine design

calculations

Rolls-Royce

Data

Organizing thoughts and reference

material experience

TAGtivity

Windows Server 2008 Hyper-V RC0 Windows HPC Server 2008 Beta2 SQL Server 2008 CTP6 Office Communication Server

Microsoft Office 2007 SQL Server 2005 2008 Windows Presentation

Foundation Matlab

MediaWiki SQL Server 2008 D2R Server ARQSPARQL

Tagtivity database Filesystem

Wiki database Workflow database Knowledge database Corporate database

Task database Conversation database Workflow tracking Simulation database

Workflow templates Workflow tracking Filesystem

Windows Workflow Foundation Windows CCS 2003 Linux (Interop) Visual Studio 2005 SQL Server 2005

Sharepoint Server Active Directory HP-UX (Interop) Windows Communication Foundation

Sharepoint database Active Directory

Technology

Data sources

Data Driven Product Lifecycle

Management

MBDA

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Exploiting cloud computing for algorithm development

N OrsquoBrien E Hart S Johnston K Djidjeli S J Cox sjcsotonac uk and NeilOBriensotonacuk

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

20

Case study photonic crystals

bull Nanostructures that affect propagation of light

Wing cross-section

Peacockrsquos magnificent

tail

Opal

Man-made example

Man-made example

Morpho butterfly

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Strengths of cloud computing

bull Algorithm development

ndash Time- data- compute-intensive

bull Data dissemination

ndash Sharing large input or output data sets

bull Burst capability

ndash Testingparameter sweeping new revisions

bull Super-scalability

ndash Apply algorithm to big problems

21

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Case study photonic crystal modelling

bull Photonic crystals are periodic dielectric structures we assume periodicity in 119909 and 119910 directions and infinite extent in 119911

22

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Maxwellrsquos Equations

bull Maxwellrsquos equations give the allowed modes of propagation for TM TE modes after applying standard simplifications

minus1

120576∆120595 = 120582120595

minus120571 sdot1

120576120571120595 = 120582120595

bull When the dielectric 120576 varies no analytical solution exists

23

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Algorithms for Photonic Crystal Modelling

bull Plane Wave Methods

ndash Scale poorly + Gibbs Phenomenon

bull Finite Difference Method

ndash Simple to code

ndash Requires fine mesh for accuracy

raquo Large and Sparse Matrices

bull Finite Element Method

ndash Large amounts of code

ndash Requires fine (complicated) mesh for accuracy

raquo Large and Sparse Matrices

bull Meshless Method

ndash Simple to code amp data parallel

ndash Improved geometry handling

raquo Small and Dense Matrices 24

FD Stencil

Radial Basis

Function

FE Mesh

Gibbs Phenomenon

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Meshless Method Formulation

bull Maxwellrsquos equations for 2D problem

bull Simplifying the 2D elliptic Helmholtz equation takes the form

bull Introducing the following notation

bull Then use the Standard RBF approximation of a function to write the Helmholtz equation as a generalized eigenvalue problem

25

uuiiTM

uuiiTE

kk11

k1

k1

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Cloud application

bull Verification by checking a high-resolution run against existing software

ndash Developer workstation free to run other tasks

ndash Institutional cluster queue time avoided

bull Parameter sweeps through high dimensional spaces

ndash Wall-time bounded below by (provisioning time + longest simulation time)

bull Application of the new algorithm to novel shapes bandgap engineering and optimisation

26

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Results

bull Comparison of band diagrams

27

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Concluding remarks

bull Cloud paradigm demonstrated

ndash Accelerated development cycle

ndash Parts of a traditionally-serial workflow ran on Windows Azure in parallel

ndash Enhanced collaboration opportunities

ndash Modularity of design

bull New meshless algorithm demonstrated

ndash Solves Maxwell equations successfully

ndash Applicable for bio-inspired photonic materials

28

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Azure+Windows Phone 7 Atmospheric Science

Professor Simon Cox and Dr Steven Johnston with ASTRA Dr Andraacutes Soacutebester Prof Jim Scanlan and Neil OrsquoBrien Microsoft Institute for High Performance Computing Southampton sjcsotonacuk amp sjj698zeplerorg

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

bull Monitoring the atmosphere

ndash Weather pollution

ndash Volcanic ashhellip

bull Low cost metrological balloons

ndash High altitude

bull Instrument retrieval using WP7 + GPS

bull Predicting the landing location with Azure

Atmospheric Science Through Robotic Aircraft

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

ASTRA architecture

Windows

Azure

University of

Southampton

GSM

Followers

Internet

Windows

Phone 7 Windows

Phone 7

notifications

Flight

prediction

algorithms

and trajectory

updates

Tracker using

Bing maps

on WP7

Device

registration and

GPS logging

notifications

Blob

storage

Logging and

data storage

Meteorological

weather balloon

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

bull ASTRA 7

ndash 18237 meters (59832 feet)

ndash Top speed 145 kmh (90mph)

ndash 1hr 16rsquo

bull ASTRA 8

ndash 21600 meters (71000 feet)

ndash Top speed 82 kmh (51mph)

ndash 2hr 30rsquo

ASTRA flights using WP7 and Windows Azure

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

33

Take Offhellip

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

34

Windows Phone 7 on the edge of Space

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

35

Windows Phone trajectory

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

36

Windows Phone at -58 degrees C

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Thanks

We acknowledge and thank Microsoft and Microsoft Research for support Prof Simon Cox sjcsotonacuk

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

bull Atmospheric Science Through Robotic Aircraft (ASTRA)

httpwwwsotonacuk~astra (Main page)

httpsegozcoukStratosphericflightaspx (WP7 application)

httpwwwsotonacuk~astradiaryhtml

httpwwwmicrosoftcomshowcaseenusdetailsda17789f-7914-4131-b7cb-91937be3d20a (Video)

Further information

Faculty of Engineering and the Environment

Summary