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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
                chernykh@cicese.mx

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


                 RISC, México, 2011
HPC History



  Mainframe
                                       PC




            Workstation


                                            Cluster




                                                      (by Christophe Jacquet)

CICESE Parallel Computing Laboratory                                    2
HPC History




                                       GRID
CICESE Parallel Computing Laboratory            3
HPC History

                                                        PaaS
                                                Platform as a Service
           SaaS
    Software as a Service




                                                               HPCaaS
                 IaaS
                                                           High Performance
         Infrastructure as a
                                                         Computing as a Service
               Service


                                       Cloud Computing
CICESE Parallel Computing Laboratory                                              4
2008

       50 años de la instalación de la 1ª.
           Computadora en México

                                       1958

                       IBM-650

CICESE Parallel Computing Laboratory          5
0
                                                     1
                                                         2
                                                                      3
                                                                          4
                                                                              5
                                                                                  6
                                       1993.06
                                       1993.11
                                       1994.06
                                       1994.11
                                       1995.06
                                       1995.11
                                       1996.06
                                       1996.11
                                       1997.06
                                       1997.11
                                       1998.06
                                       1998.11
                                       1999.06
                                       1999.11
                                       2000.06




CICESE Parallel Computing Laboratory
                                       2000.11
                                       2001.06
                                       2001.11
                                       2002.06
                                       2002.11
                                       2003.06
                                       2003.11
                                       2004.06
                                       2004.11
                                       2005.06
                                       2005.11
                                       2006.06
                                                                                                                       Mexico




                                       2006.11
                                       2007.06
                                       2007.11
                                                                                      Number of computers in Top 500




                                       2008.06
                                       2008.11
                                       2009.06
                                       2009.11
                                       2010.06
                                       2010.11
                                       2011.06
                                                             Mexico




6
06. 1993
Rank         Site                      Computer       Cores   Year   Rmax   Rpeak
       Universidad
         Nacional                      Y-MP4/432
246                                                    4      1991   1.159 1.333
       Autonoma de                      Cray Inc.
          Mexico




                                           06.2009
 Rank               Site                   Computer   Cores   Year   Rmax   Rpeak
         Universidad
                                   Lufac Cluster, Intel
 226     Autonoma                                                    18.48 25.44
                                   Xeon E54xx 3.0 Ghz, 2120 2009
         Metropolitana
                                   Infiniband
         Mexico


CICESE Parallel Computing Laboratory                                           7
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
CICESE Parallel Computing Laboratory                                 8
Universidad Autonoma
                                Metropolitana

                                                          Sum Rmax
          List                Systems   Highest Ranking
                                                           (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


CICESE Parallel Computing Laboratory                                   9
Geoscience
                                                          Sum Rmax
        List                 Systems    Highest Ranking
                                                           (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

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



                                 Grupo Electra
                                                          Sum Rmax
         List                 Systems   Highest Ranking
                                                           (GFlops)
      11/2002                     1           422          197.30

CICESE Parallel Computing Laboratory                                  10
Banco Azteca

         List             Systems         Ranking      Sum Rmax (GFlops)
     06/2007                 1                391           4704.00
      06/2005                1                399            1330.60
      11/2004                1                261            1210.00


             391 Integrity Superdome, Itanium2 DC 1.6 GHz, HyperPlex
                         Hewlett-Packard        980 cores

                                    Pemex Gas
     List         Systems              Ranking        Sum Rmax (GFlops)
  06/2003             1                 412                 289.00
   11/2002            1                 218                 289.00
  06/2000             1                 361                 48.93
   06/1996         1                  323                    4.62
        412 Netfinity Cluster PIII 1 GHz – Eth IBM        1024 cores

CICESE Parallel Computing Laboratory                                       11
Instituto Latinoamericano
                                                                   Sum Rmax
             List                 Systems       Highest Ranking
                                                                    (GFlops)
          06/2005                       1            462           1210.00
           11/2004                      1            280            1210.00

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


                                            ITESM
                                                                  Sum Rmax
            List                 Systems       Highest Ranking
                                                                   (GFlops)
         11/1993                        1           409             0.66



                           SP1 IBM                  8 cores

 CICESE Parallel Computing Laboratory                                            12
Telcel
           List           Systems        Ranking     Sum Rmax (GFlops)
        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

                                       SAT/ISOSA
                   Servicio de Administración Tributaria, México
            List            Systems        Ranking   Sum Rmax (GFlops)
        11/2003                 1           328            517.00
         06/2003                  1          182           517.00
       328 SuperDome 875 MHz/HyperPlex Hewlett-Packard 256
CICESE Parallel Computing Laboratory                                     13
Top 500 Ranking
 600




 500




 400




 300
                                              Mexico
                                              Spain
 200




 100




   0




CICESE Parallel Computing Laboratory              14
Application Areas
Application Areas
                                       Aerospace
                                       Automotive
                                       Biology
                                       Consulting
                                       Database
                                       Defense
                                       Electronics
               2011                    Energy
                                       Environment
                                       Finance
                                       Geophysics
                                       Hardware
                                       Information Service
                                       Life Science
                                       Medicine
                                       Telecomm
                                       Transportation
                                       Weather and Climate Research
                                       WWW

CICESE Parallel Computing Laboratory                                  16
Old and New Application Areas

                                2000
                                            Chemistry
                                            Manufacturing
                                            Mechanics
                                            Pharmaceutics


                                2011
                                       Retail               Logistic Services
                                       Research             Service
                                       Software             Weather Forecasting
                                       Semiconductor        Digital Media


CICESE Parallel Computing Laboratory                                        17
My first job
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

                    Data flow



      Models of Parallel
        Computation




       Processing of
  Incolmplete Information

 CICESE Parallel Computing Laboratory                              18
My Research Areas
                                            HPC
Real Time Systems




                                                                              Cloud Computing
                    Resource optimization             Scheduling

                        Multiobjective        online             offline
                        Optimization
                                              List Scheduling      Stealing

                       Computational                  Scheduling with
                        Intelligence              System Level Agreement

                                                    Approximation
                      Knowledge Free                 Algorithms
                      Scheduling with
                        Uncertainty           Workflow Orchestration

                               Grid Computing
Collaboration
                                     Universidad Autónoma de Baja
                                         California
                         Mexico      Universidad Autónoma de
                                         Nuevo León
                                     Tecnológico de Monterrey
                                     Instituto Tecnológico de Morelia
     Alemania                        Centro de Estudios Superiores
                                         del Estado de Sonora

Dortmund University
 Prof. Uwe Schwiegelshohn       CICESE                  EUA
University of Göttingen
 Prof. Ramin Yahyapour                         Ohio University, USA
                                                    Prof . Klaus Ecker
                                               University of California –
                                                  Irvine, CA, USA
                                               Prof. Isaac Scherson,
       Rusia                                   Prof. Jean Luc Gaudiot
                                  Francia
  Institute for System
  Programming, Russian
  Academy of Sciences       Institute of Informatics and
  Dr. Nikolay Kuzurin       Applied Mathematics of Grenoble
                            Prof. Denis Trystram
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




    CICESE Parallel Computing Laboratory                           23
Electronic Waste




CICESE Parallel Computing Laboratory                      24
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




CICESE Parallel Computing Laboratory                                  25
Important issues – wasting electricity
The average desktop PC wastes                         Cooling towers

• 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




 CICESE Parallel Computing Laboratory                              26
The way out
 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



CICESE Parallel Computing Laboratory                                          27
CICESE Parallel Computing Laboratory   28
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
                chernykh@cicese.mx

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


                 RISC, México, 2011

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Andrey tchernykh

  • 1. 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 chernykh@cicese.mx http://www.cicese.mx/~chernykh RISC, México, 2011
  • 2. HPC History Mainframe PC Workstation Cluster (by Christophe Jacquet) CICESE Parallel Computing Laboratory 2
  • 3. HPC History GRID CICESE Parallel Computing Laboratory 3
  • 4. HPC History PaaS Platform as a Service SaaS Software as a Service HPCaaS IaaS High Performance Infrastructure as a Computing as a Service Service Cloud Computing CICESE Parallel Computing Laboratory 4
  • 5. 2008 50 años de la instalación de la 1ª. Computadora en México 1958 IBM-650 CICESE Parallel Computing Laboratory 5
  • 6. 0 1 2 3 4 5 6 1993.06 1993.11 1994.06 1994.11 1995.06 1995.11 1996.06 1996.11 1997.06 1997.11 1998.06 1998.11 1999.06 1999.11 2000.06 CICESE Parallel Computing Laboratory 2000.11 2001.06 2001.11 2002.06 2002.11 2003.06 2003.11 2004.06 2004.11 2005.06 2005.11 2006.06 Mexico 2006.11 2007.06 2007.11 Number of computers in Top 500 2008.06 2008.11 2009.06 2009.11 2010.06 2010.11 2011.06 Mexico 6
  • 7. 06. 1993 Rank Site Computer Cores Year Rmax Rpeak Universidad Nacional Y-MP4/432 246 4 1991 1.159 1.333 Autonoma de Cray Inc. Mexico 06.2009 Rank Site Computer Cores Year Rmax Rpeak Universidad Lufac Cluster, Intel 226 Autonoma 18.48 25.44 Xeon E54xx 3.0 Ghz, 2120 2009 Metropolitana Infiniband Mexico CICESE Parallel Computing Laboratory 7
  • 8. 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 CICESE Parallel Computing Laboratory 8
  • 9. Universidad Autonoma Metropolitana Sum Rmax List Systems Highest Ranking (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 CICESE Parallel Computing Laboratory 9
  • 10. Geoscience Sum Rmax List Systems Highest Ranking (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 3889.05 351 xSeries Xeon 2.8 GHz, Gig-Ethernet IBM 706 cores Grupo Electra Sum Rmax List Systems Highest Ranking (GFlops) 11/2002 1 422 197.30 CICESE Parallel Computing Laboratory 10
  • 11. Banco Azteca List Systems Ranking Sum Rmax (GFlops) 06/2007 1 391 4704.00 06/2005 1 399 1330.60 11/2004 1 261 1210.00 391 Integrity Superdome, Itanium2 DC 1.6 GHz, HyperPlex Hewlett-Packard 980 cores Pemex Gas List Systems Ranking Sum Rmax (GFlops) 06/2003 1 412 289.00 11/2002 1 218 289.00 06/2000 1 361 48.93 06/1996 1 323 4.62 412 Netfinity Cluster PIII 1 GHz – Eth IBM 1024 cores CICESE Parallel Computing Laboratory 11
  • 12. Instituto Latinoamericano Sum Rmax List Systems Highest Ranking (GFlops) 06/2005 1 462 1210.00 11/2004 1 280 1210.00 462 Integrity Superdome, 1.5 GHz, HPlex Hewlett-Packard 256 cores ITESM Sum Rmax List Systems Highest Ranking (GFlops) 11/1993 1 409 0.66 SP1 IBM 8 cores CICESE Parallel Computing Laboratory 12
  • 13. Telcel List Systems Ranking Sum Rmax (GFlops) 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 SAT/ISOSA Servicio de Administración Tributaria, México List Systems Ranking Sum Rmax (GFlops) 11/2003 1 328 517.00 06/2003 1 182 517.00 328 SuperDome 875 MHz/HyperPlex Hewlett-Packard 256 CICESE Parallel Computing Laboratory 13
  • 14. Top 500 Ranking 600 500 400 300 Mexico Spain 200 100 0 CICESE Parallel Computing Laboratory 14
  • 16. Application Areas Aerospace Automotive Biology Consulting Database Defense Electronics 2011 Energy Environment Finance Geophysics Hardware Information Service Life Science Medicine Telecomm Transportation Weather and Climate Research WWW CICESE Parallel Computing Laboratory 16
  • 17. Old and New Application Areas 2000 Chemistry Manufacturing Mechanics Pharmaceutics 2011 Retail Logistic Services Research Service Software Weather Forecasting Semiconductor Digital Media CICESE Parallel Computing Laboratory 17
  • 18. My first job 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 Data flow Models of Parallel Computation Processing of Incolmplete Information CICESE Parallel Computing Laboratory 18
  • 19. My Research Areas HPC Real Time Systems Cloud Computing Resource optimization Scheduling Multiobjective online offline Optimization List Scheduling Stealing Computational Scheduling with Intelligence System Level Agreement Approximation Knowledge Free Algorithms Scheduling with Uncertainty Workflow Orchestration Grid Computing
  • 20. Collaboration Universidad Autónoma de Baja California Mexico Universidad Autónoma de Nuevo León Tecnológico de Monterrey Instituto Tecnológico de Morelia Alemania Centro de Estudios Superiores del Estado de Sonora Dortmund University Prof. Uwe Schwiegelshohn CICESE EUA University of Göttingen Prof. Ramin Yahyapour Ohio University, USA Prof . Klaus Ecker University of California – Irvine, CA, USA Prof. Isaac Scherson, Rusia Prof. Jean Luc Gaudiot Francia Institute for System Programming, Russian Academy of Sciences Institute of Informatics and Dr. Nikolay Kuzurin Applied Mathematics of Grenoble Prof. Denis Trystram
  • 22. 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
  • 23. 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 CICESE Parallel Computing Laboratory 23
  • 24. Electronic Waste CICESE Parallel Computing Laboratory 24
  • 25. 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 CICESE Parallel Computing Laboratory 25
  • 26. Important issues – wasting electricity The average desktop PC wastes Cooling towers • 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 CICESE Parallel Computing Laboratory 26
  • 27. The way out 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 CICESE Parallel Computing Laboratory 27
  • 28. CICESE Parallel Computing Laboratory 28
  • 29. 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 chernykh@cicese.mx http://www.cicese.mx/~chernykh RISC, México, 2011