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E-Science Applications E-Science Applications in Thailand in Thailand Panjai Tantasanawong Panjai Tantasanawong Uninet Uninet Ministry of Education Ministry of Education Putchong Uthayopas Putchong Uthayopas Thai National Grid Thai National Grid Center, Center, Software Industry Software Industry Promotion Agency (SIPA) Promotion Agency (SIPA) Ministry of Information Ministry of Information and Communication and Communication

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E-Science Applications E-Science Applications in Thailandin ThailandPanjai TantasanawongPanjai Tantasanawong

UninetUninetMinistry of EducationMinistry of Education

Putchong UthayopasPutchong Uthayopas

Thai National Grid Center,Thai National Grid Center,Software Industry Promotion Software Industry Promotion

Agency (SIPA)Agency (SIPA)Ministry of Information and Ministry of Information and

CommunicationCommunication

Outline

• E-Science development in Thailand

• Grid Computing in Thailand

• Example Applications

E-Science in Thailand: A brief timeline

• 1994 NECTEC put Thailand's first vectorised multiprocessor supercomputer, the Cray EL98– Computational Chemistry– Computational Physics

• 1996 Thai Meteorological Department (TMD) use IBMSP – NWP (Numerical Weather Prediction) project

• 1997 the Computational Science and Engineering Programme Consortium was established as a cooperative effort among Thai universities and the National Science and Technology Development Agency (NSTDA).

• 1999 Kasetsart University built 72 nodes Beowulf Cluster “Pirun”– Academic and research applicaiton– Start of the booming of Beowulf Cluster in Thailand

• 2001 Thailand transition into Grid Era

Source: Sornthep Vannarat, NECTEC, “Computing and Information Grid Development in Thailand, ISGC2006 Presentation, May 2-4,2006,Taipai, Taiwan.

• Statistic from ANSCSE (Annual national

Symposium on Computational Science and Engineering) 1997-2005 showing the number of papers in each major e-science area

Grid Computing Development2000-2005

ThaiGrid projectStart

2000

Linking KMITNB-KU

2001 2002 2003 2004 2005

Virtual Screening On Grid

National Grid project approved

National Grid project started

ThaiGrid has 5 members

ThaiGrid link more than 100 processors from 5 universities

PRAGMA participation byNECTEC/KU

Forming National Grid project proposal ThaiGrid Join

SCGlobal2004

Thai National Grid Project• A 4 years project under

Ministry of Information and Communication Technology

• 5.5 Million US$ program• Start from 13 universities

and 1 government organizations

• Extending rapidly

MinisterMICT

National Grid Committee

DirectorSIPA Board

SIPA

AdminStaffs

Member Institutes

DirectorThai National Grid Center

Researchers

BoardThai National Grid Center Associate Director

Thai National Grid Center

Partners Institutes

Bangkok

Chaingmai University (CMU)

Chulalongkorn University (CU)Kasetsart University (KU)King Mongkut’s Institute of Technology North Bangkok (KMITNB)King Mongkut’s University of Technology Thonburi (KMUTT)King Mongkut’s Institute of Technology Ladkrabang (KMITL)Mahidol Unversity (MU)Silpakorn University (SU)The Meteorological Department Of Thailand (TMD)

Walailak University (WU)

Prince of Songkla University (PSU)

Khonkhan University (KKU)

Suranaree University of Technology (SUT)

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Inter-University Network (UniNet) Commission on Higher Education (Center)

24 Public Universities

39 Rajabhat Universities29 IT Campus

8 Private Universities13 Mahachulalongkorn Rajawitayalai9 Other agencies9 Rajamangala Institue of Technology (44 Campus) Ministry of Education (for Under Higher Education)

155 Mbps- STM134 Mbps - E38 Mbps - 4*E12 Mbps - E164 k – 2Mbps

CMUCMUSUTSUT

MUAMUA

SU_NMJSU_NMJ

BUBU

PSUPSU

DomesticDomestic1Gbps1Gbps

Internet - 622 MbpsInternet - 622 Mbps

(to Internet 2 155 Mbps)(to Internet 2 155 Mbps)

2.5 Gbps- STM161 Gbps

Update on 24 Jan 2006Update on 24 Jan 2006

THAISARNTHAISARN

1Gbps1Gbps

MOEnet (K-12)MOEnet (K-12)

1Gbps 1Gbps

(coming soon)(coming soon)

Thai Research & Education Networks

ThaiRen: UNINET ThaiSARN (NECTEC)

Thai Research and Education Network

ThaiREN

RENOC

UniNet ThaiSarn

ThaiREN

Internet2

TEIN2 APAN

Thai Research and Education Network

ThaiREN

RENOC

UniNet ThaiSarn

ThaiREN

Internet2

TEIN2 APAN

1 Gbps

UniNetUniNet ThaiSarnThaiSarn

UniversitiesUniversitiesResearch Research InstitutesInstitutes

Internet2Internet2

CATCATInternationalInternational

TEIN2TEIN2

THNIXTHNIXDomesticDomestic

1G1G

310 M310 M

155M155M

155 M155 M

1G1G

ThaiRENThaiREN

Internet2 (USA)

TEIN2

JGN II (JP)310Mbps

155Mbps

45Mbps

via Singapore

2.5 2.5 GbpsGbpsThaiSarn

NOCThaiREN

PoP

UniNetNOC

ThaiRENPoP

Trans-Eurasia Information Network (TEIN2)

International Research and Education Networks

UniNet

TEIN2

• UniNet to USA 310 MbpsUniNet to USA 310 Mbps

• UniNet to ThaiREN 1 GbpsUniNet to ThaiREN 1 Gbps

• ThaiREN to TEIN2 155 MbpsThaiREN to TEIN2 155 Mbps

• ThaiREN to JGN2 45 MbpsThaiREN to JGN2 45 Mbps(Via ThaiSarn)(Via ThaiSarn)JGN2

EUROPEEUROPE

2006 2007 2008 2009

Pilot Grid R&E Grid Enterprise Grid

•Pilot Grid and Cluster infrastructure•Interoperable Middleware•Basic computational Grid•Basic Data Grid•POC applications

•Stable Grid and Cluster infrastructure•Interoperable Middleware and basic services•Basic computational Grid•Basic Data Grid•Grid Portal•Grid applications

•R&E •Non production enterprise app

•Broad academic adoption•Limited commercial adoption

•Production Grid and Cluster infrastructure•Rich set of services

•Computational Grid•Enterprise analysis Grid•Data and knowledge Grid•Collaborative Grid

•Broad commercial adoption

Capability

Time

2006 Grid Infrastructure

ThaiRen(Uninet/ThaiSarn)

KMITNB

KMUTT

KMITL

TMD

WU

KU

PSU

CMU

SUT

KKU SU

MU

CU

AIT

Teraflop Serverat TNGC

2.5Gb

NECTEC

• 14 geographically distributed sites

– 400-600 processors• 10+ Terabyte storage• 15-20 research group

– 100+ researchers

• 14 geographically distributed sites

– 400-600 processors• 10+ Terabyte storage• 15-20 research group

– 100+ researchers

5 Initial Focus Areas• Life Science

– Drug Design• Digital media

– Rendering• Enterprise computing

– WS/SOA Enterprise computing application

– Industrial Simulation and Modeling

– Financial analysis– Medical/Health care

• Computational Science and Engineering

– Geoinformatics, CFD• Education

– E-learning, collaborative environment

– Grid education Grid Infrastructureand Middleware

Life

Scien

ce

Education

Dig

ital M

ed

ia

En

terp

rise C

omp

uting

Com

putational S

cience and Engineering

ThaiGrid Drug Discovery Infrastructure

• Partners:– Dr. Jak Saengma, KU– Somsak Sriprayoonsakul, TNGC– IBM Thailand

• Challenges– From over 10000 active compounds available

from Thai medicinal plants database, find a smallest set of compounds that has a potential to be used as a drug

– Very compute intensive. Several month of computing time

• Solution: Use grid to increase computing power to 10-100 times

– Distributed screening process to hundred of hosts on the Grid

• Benefit– Speeding up time to results– Allow scientists to spend more time analyzing

results

Implicit Narrowband Level Set Method for Fire Spread Model

Dr. Pallop HuabsomboonMahidol University

• Challenges– Simulation of large scale firespred

for forest fire– Very time consuming process

• Solution– Distribute the computation on the

Grid

• Benefit– Expect 10x faster simulation speed– Ability to model much larger

problem within a reasonable time

• Part of TNGP/ Hewlett Packard Join Research Program

The Parallel Simulation Model for Thin Film Deposition Using the DSMC Method

Dr. Rardchawadee SilapuntDr. Tiranee AchalakulKMUTT, Thailand• Thin film deposition process is

used for many manufacturing industries including very large scale integrated circuits, optics, magnetic, hard and corrosion resistant coatings, micro-mechanics.

• Grid system will be used to accelerate the computation and

simulation process • Part of TNGP/ Hewlett

Packard Join Research Program

simulation domain S

ub

-D

om

ain

Processor

Processor

Processor

MP

IM

PI

Su

b-

Do

ma

inS

ub

-D

om

ain

Grid based data assimilation using RS data

• Dr. Kiyoshi Honda, AIT• Dr. Putchong Uthayopas, THNC• Challenges

– Using GA based data assimilation for agricultural monitoring

– Very long computation time from months to years

– Large amount of RS data needed to be moved around and process

• Solution: – Using Grid to harvest more

computing power– Hide data assimilation process

behind the service using MPI, GridRPC (ninf-g)

• Benefit– Speeding up the calculation

User

Portal

Cluster A

Cluster B Cluster C

Host DSWAP-SERVICE

SWAP-SERVICE

SWAP-SERVICESWAP-SERVICE

Grid

Medical GridSuwachai Sieanoon, Somkiat

Chatchuenyot, Dr. Panjai Tantasnawong

Computer Science Department, Silpakorn University

• To build and develop a distributed information management system using DataGrid technology.

• Apply the distributed information management system to test on exchanging and managing the Patient Records System, which is record complexity and, different format and large size of data.

Grid Services(Internet)Option

Hospital_E

Grid Services

MetadataHospital_A

MetadataHospital_B

MetadataHospital_C

Data Agent

Hospital_F

Hospital_D

GRID Services

Data Agent

Service Registr

y

Meta Data(HL7)

XML

IMAGE

NECTEC Information Grid Project

Source: Sornthep Vannarat, NECTEC, “Computing and Information Grid Development in Thailand, ISGC2006 Presentation, May 2-4,2006,Taipai, Taiwan.

Access Grid

• Access Grid are Being used Regularly to support e-science activities

• Provide access to local conference (NECTEC)

– ANSCSE10, NAC2006• International Link

– SEAGF-MEETING• Malaysia, Singapore, and Thailand

– SCGlobal 2005,2004,2003– First APEC Virtual Symposium on

Pandemic Preparedness using Access Grid, January 20, 2006

• Presentation from Medical Organization in many economies: China, Taiwan, USA, Vietnam, Thailand, Singapore, Philippine, and more

More Projects

• There are more projects from– Government Agency

• NECTEC, BIOTEC, MTEC, TMD

– Universities

• More information are being collected

Summary• Thailand are moving into more e-science

practice due to– Better computational and grid infrastructure – More software solution– More awareness

• Community building is still critical to success– Building awareness, partnership increasing the

interest

• TGCC (Thai Grid Computing Conference 2006) August 29-30 2006– All of you are invited

Thank You

Q&A

Appendix: ThaiGrid: A Brief History2000-2003

• Dec 2000– ThaiGrid founded with 5 labs

from 4 organizations

• Dec 8,2000– NWCC2000 at Thamasart

University

• Sept 24-28,2001– Grid Demo in HPC ASIA 2001

• 2001-2002– building KU/KMITNB test bed

• Jan 2002– ThaiGrid Talk in APAN Phuket

• Feb 4,2003 – Joint ApGrid Demo in

APAN, Shianghai, China• March 10, 2003

– NWCC2003 at AIT• June 5-6, 2003

– KU Joining PRAGMA• November 2003

– KU join SC Global 2003

ThaiGrid: A Brief History2004-2005

• Jan 2004– ThaiGrid Talk in APAN Hawaii

• Feb 20,2004– First Access Grid Training in KU

• March 15,2004– First cluster workshop

• May 2004– Start the discussion of building National

Grid Project• June 2004

– First Generation Drug Design Grid is demonstrated

• Sept 1-2, 2004– Thai Grid and Cluster Computing

Conference TGCC2004• October 2004

– Grid expanded to 5 universities• November 2004

– KU join SCGlobal 2004• December 28

– Cabinet approve Thailand National Grid Project

• Jan24-28,2005 APAN Presence– Access Grid Tutorial – Presentation: Drug Design

Grid, CFD, Remote Sensing

• May 2-6,2005– Grid Asia and PRAGMA

participation

• June,2005– Budget for Thailand

National Grid has been approved.