andrey tchernykh

HPC in México: Looking to the Future based on solid foundations

Andrei Tchernykh Centro de Investigación Científica y de Educación

Superior de Ensenada,

Ensenada, Baja California, México [email protected]

http://www.cicese.mx/~chernykh

RISC, México, 2011

mailto:[email protected]

HPC History

2 CICESE Parallel Computing Laboratory

Workstation

PC

Cluster

(by Christophe Jacquet)

Mainframe


GRID

HPC History


Cloud Computing

SaaS

Software as a Service

PaaS

Platform as a Service

IaaS

Infrastructure as a

Service

HPCaaS

High Performance

Computing as a Service

HPC History


2008

50 años de la instalación de la 1ª.

Computadora en México

1958

IBM-650

6

Mexico

CICESE Parallel Computing Laboratory

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Number of computers in Top 500

Mexico

06. 1993

Rank Site Computer Cores Year Rmax Rpeak

246

Universidad

Nacional

Autonoma de

Mexico

Y-MP4/432

Cray Inc. 4 1991 1.159 1.333

7

Rank Site Computer Cores Year Rmax Rpeak

226

Universidad

Autonoma

Metropolitana

Mexico

Lufac Cluster, Intel

Xeon E54xx 3.0 Ghz,

Infiniband

2120 2009 18.48 25.44

06.2009


http://www.top500.org/system/488



http://top500.org/system/9829










Universidad Nacional Autonoma de

Mexico

List Systems Ranking Sum Rmax (GFlops)

06/2007 1 309 5090.00

11/2006 1 126 5090.00

11/1997 1 459 10.42

06/1997 1 324 10.42

11/1994 1 492 1.16

06/1994 1 378 1.16

11/1993 1 292 1.16

06/1993 1 246 1.16

309 Cluster Platform 4000 DL145 Opteron Dual Core 2.6 GHz

Infiniband, Hewlett-Packard 1360 cores




Universidad Autonoma

Metropolitana

List Systems Highest Ranking Sum Rmax

(GFlops)

06/2009 1 441 18.48

11/2008 1 226 18.48

06/1996 1 385 4.14

11/1995 1 268 4.14

06/1995 1 197 4.14

11/1994 2 157 5.62


Lufac Cluster, Intel Xeon E54xx 3.0 Ghz, Infiniband, 2120 cores

http://www.top500.org/site/1848/list/7






(GFlops)

11/2005 3 351 6078.00

06/2005 3 201 6078.00

11/2004 3 118 6078.00

06/2004 3 89 6078.00

11/2003 3 83 3889.05

Geoscience

351 xSeries Xeon 2.8 GHz, Gig-Ethernet IBM 706 cores



(GFlops)

11/2002 1 422 197.30

Grupo Electra











Banco Azteca


06/2007 1 391 4704.00

06/2005 1 399 1330.60

11/2004 1 261 1210.00


06/2003 1 412 289.00

11/2002 1 218 289.00

06/2000 1 361 48.93

06/1996 1 323 4.62

Pemex Gas

412 Netfinity Cluster PIII 1 GHz – Eth IBM 1024 cores

391 Integrity Superdome, Itanium2 DC 1.6 GHz, HyperPlex

Hewlett-Packard 980 cores















(GFlops)

06/2005 1 462 1210.00

11/2004 1 280 1210.00

Instituto Latinoamericano

462 Integrity Superdome, 1.5 GHz, HPlex Hewlett-Packard 256 cores



(GFlops)

11/1993 1 409 0.66

SP1 IBM 8 cores

ITESM






Telcel


11/2001 1 335 118.10

06/2001 1 228 118.10

11/2000 1 179 118.10

06/2000 2 159 123.93

06/1999 1 436 26.38

11/1998 1 273 26.38

335 HPC 10000 400 MHz Cluster Sun Microsystems 192



11/2003 1 328 517.00

06/2003 1 182 517.00

SAT/ISOSA Servicio de Administración Tributaria, México

328 SuperDome 875 MHz/HyperPlex Hewlett-Packard 256












Top 500 Ranking

0

100

200

300

400

500

600

Mexico

Spain

Application Areas


Aerospace Automotive Biology Consulting Database Defense Electronics Energy Environment Finance Geophysics Hardware Information Service Life Science Medicine Telecomm Transportation Weather and Climate Research WWW

Application Areas

16

2011


Old and New Application Areas

Chemistry

Manufacturing

Mechanics

Pharmaceutics

17

2000

Retail Logistic Services

Research Service

Software Weather Forecasting

Semiconductor Digital Media

2011


My first job

18

The Elbrus (Russian: Эльбрус) is a line of Soviet and Russian computer

systems developed by Lebedev Institute of Precision Mechanics and

Computer Engineering, Moscow.

1975

Models of Parallel

Computation

Processing of

Incolmplete Information

Data flow

http://en.wikipedia.org/wiki/Russian_language

http://en.wikipedia.org/wiki/Soviet_Union

http://en.wikipedia.org/wiki/Russia

http://en.wikipedia.org/wiki/Lebedev_Institute_of_Precision_Mechanics_and_Computer_Engineering

http://en.wikipedia.org/wiki/Lebedev_Institute_of_Precision_Mechanics_and_Computer_Engineering

My Research Areas

HPC

Grid Computing

Scheduling Resource optimization

online offline

Re

al T

ime

Sy

ste

ms

Clo

ud

Co

mp

uti

ng

Knowledge Free

Scheduling with

Uncertainty

Multiobjective

Optimization

Computational

Intelligence

List Scheduling Stealing

Scheduling with

System Level Agreement

Approximation

Algorithms

Workflow Orchestration

Collaboration

CICESE

Mexico

EUA

Francia

Rusia

Alemania

Universidad Autónoma de Baja California

Universidad Autónoma de Nuevo León

Tecnológico de Monterrey Instituto Tecnológico de Morelia Centro de Estudios Superiores

del Estado de Sonora

Dortmund University Prof. Uwe Schwiegelshohn

University of Göttingen Prof. Ramin Yahyapour

Institute for System Programming, Russian Academy of Sciences Dr. Nikolay Kuzurin

Institute of Informatics and Applied Mathematics of Grenoble Prof. Denis Trystram

Ohio University, USA Prof . Klaus Ecker

University of California – Irvine, CA, USA

Prof. Isaac Scherson, Prof. Jean Luc Gaudiot

http://www.uci.edu/

http://www.cs.sunysb.edu/

http://www.conacyt.mx/index.html

http://lafmi.lania.mx/

Green Computing

Important issues – fossil fuels

Average desktop computer with monitor requires

• 10 times its weight in chemicals and fossil fuels to

produce

• 266 kg of fossil fuel for LCD monitor

• 4 litres of oil for laser toner cartridge

CICESE Parallel Computing Laboratory 22

Important issues – electronic-waste

• Over 130,000 PCs dumped in US homes & businesses…each day

• Less than 10% of electronics are recycled

• Est. 50 million tons of e-waste is generated globally each year


Electronic Waste


Important issues – toxic waste

Electronic waste is an increasing problem

• up to 70% of all hazardous waste.

• high in many toxic materials (heavy metals, plastics)

• can easily leach into ground water and bio-accumulate • CRT – graphite/zinc leachate (monitors are hazardous waste)

• Lead (plomo): can attack proteins and DNA, as well as

interfere with nervous system function

• LCD – 4-12 mg mercury /unit


Important issues – wasting electricity

The average desktop PC wastes

• nearly half the power it consumes

• one-third of their power as heat

• Energy consumed by data centres worldwide doubled from 2000 to

2005

• The more powerful the machine, the more cool air needed to keep it

from overheating.

• By 2005, the energy required to power and cool servers accounted

for about 1.2% of total U.S. electricity consumption


Cooling towers

26

Algorithmic efficiency

• has an impact on the amount of computer resources required for any given

computing function

Resource allocation

• cut energy usage by routing traffic and resource usage

Virtualization

• Use what you need (Cloud computing)

Sophisticated power management

Operating system support

Power supply

Storage

Video card

Display

Materials recycling

Telecommuting

• reduction of greenhouse gas emissions related to travel

Education and Certification


The way out

27

HPC in México: Looking to the Future based on solid foundations

Andrei Tchernykh Centro de Investigación Científica y de Educación

Superior de Ensenada,

Ensenada, Baja California, México [email protected]

http://www.cicese.mx/~chernykh

RISC, México, 2011

mailto:[email protected]

andrey tchernykh

Technology

service saassoftware

cluster platform

hpc historypaasplatform

universidad nacional

integrity superdome

netfinity cluster piii

intel xeon e54xx

sonoradortmund university