High Performance Computing in Europe and USA: A Comparison
|
|
|
- Stephany Mills
- 5 years ago
- Views:
Transcription
1 High Performance Computing in Europe and USA: A Comparison Hans Werner Meuer University of Mannheim and Prometeus GmbH 2nd European Stochastic Experts Forum Baden-Baden, June 28-29, 2001
2 Outlook Introduction of TOP500 Project Europe and USA as Producer and Consumer of HPC Systems Companies producing HPC Systems Europe and USA in the use of HPC Systems Government Programs and Large HPC Centers in Europe and USA TOP500 Plans
3 TOP500 Motivation Basis for analyzing the HPC market Quantification of observations Detection of trends Market Architecture Technology
4 TOP500 Procedure Listing of the 500 most powerful computers in the world Yardstick: R max from LINPACK Ax=b, dense problem TPP performance Rate Size Updated twice a year
5 TOP500 Status 1st List in June th List on June 21, 2001 in Heidelberg 18th List on November 14, 2001 in Denver Accepted by users and manufacturers
6
7 TOP500 Authors - Started in spring 1993 by: Hans W. Meuer and Erich Strohmaier - Authors since 06/1993 and 11/2000 Jack Dongarra Horst Simon
8
9 Performance Development 1 Pflop/s 100 Tflop/s SUM TF/s 10 Tflop/s 1 Tflop/s 100 Gflop/s 10 Gflop/s 1 Gflop/s 100 Mflop/s TF/s 59.7 GF/s Intel XP/S140 Sandia 0.4 GF/s SNI VP200EX Uni Dresden Jun 93 Nov 93 Jun 94 Fujitsu 'NWT' NAL N=1 Hitachi/Tsukuba CP-PACS/2048 N=500 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Intel ASCI Red Sandia Jun 99 Nov 99 Jun 00 Nov 00 Jun TF/s IBM ASCI White LLNL 67.8 GF/s IBM SP Power3 64 processors Adam Opel AG
10 Performance Development 1 PFlop/s 100 TFlop/s ASCI 10 TFlop/s Sum Earth Simulator 1 TFlop/s 100 GFlop/s N=1 10 GFlop/s 1 GFlop/s N=10 N= MFlop/s N=500 Jun 93 Jun 94 Jun 95 Jun 96 Jun 97 Jun 98 Jun 99 Jun 00 Jun 01 Jun 02 Jun 03 Jun 04 Jun 05
11 Producers 500 Europe Japan USA Jun 93 Nov 93 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Jun 99 Nov 99 Jun 00 Nov 00 Jun 01
12 Continents others Japan 300 Europe USA/Canada 0 Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
13 Europe - Countries others Switzerland Benelux Scandinavia France UK Germany 0 Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
14 Manufacturers 500 others NEC Hitachi Intel TMC Fujitsu SGI Cray Sun IBM Convex/HP 0 Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
15 Chip Technology 500 other COTS proprietary 400 other COTS SUN intel MIPS HP Power Alpha Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
16 Customer Types 500 Vendor Classified 400 Academic Industry 100 Research 0 Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
17 Customer Types - Performance 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Vendor Classified Academic Industry Performance Research Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
18 Industrial/Commercial Applications Unknown 100 Commercial 50 0 Engineering Jun-93 Nov-93 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Nov-98 Jun-99 Nov-99 Jun-00 Nov-00 Jun-01
19 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Customer Types - USA Other Academic Industrial/Commercial Research Jun 93 Nov 93 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Jun 99 Nov 99 Jun 00 Nov 00 Jun 01
20 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Customer Types - Europe Other Academic Industrial/Commercial Research Jun 93 Nov 93 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Jun 99 Nov 99 Jun 00 Nov 00 Jun 01
21 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Other Customer Types - Japan Industrial/Commercial Academic Research Jun 93 Nov 93 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Jun 99 Nov 99 Jun 00 Nov 00 Jun 01
22 Rank TOP10 Centers - integrated Site t*r max [TFYears] Current Best Country 1 Lawrence Livermore National Laboratory , 4, 44, 48 USA 2 Sandia National Laboratory 9.6 3, 42, 79 USA 3 Los Alamos National Laboratory 7.5 6, 25 USA 4 University of Tokyo 4.6 5, 17 Japan 5 Naval Oceanographic Office (NAVOCEANO) 3.9 7, 27 USA 6 NERSC/LBNL 3.7 2, 55, 78, 386 USA 7 United Kingdom Meteorological Office , 40 UK 8 Forschungszentrum Juelich (FZJ) , 106 Germany 9 ECMWF , 111, 289 UK 10 Oak Ridge National Laboratory , 90 USA
23 clusters.top500.org
24 Problems with LINPACK Commercial DB systems don t care about floating point New architectures - compute farms not designed to run LINPACK Self-made cluster no vendor to measure LINPACK every system is different
25 TOP500 Plans Talks with experts since 3 years on how to resolve these issues Q: How can we provide better information for different application and architecture domains? A: Make additional lists
26 Thank you! The PowerPoint slides of this presentation can be downloaded at:
What have we learned from the TOP500 lists?
What have we learned from the TOP500 lists? Hans Werner Meuer University of Mannheim and Prometeus GmbH Sun HPC Consortium Meeting Heidelberg, Germany June 19-20, 2001 Outlook TOP500 Approach Snapshots
TOP500 Listen und industrielle/kommerzielle Anwendungen
TOP500 Listen und industrielle/kommerzielle Anwendungen Hans Werner Meuer Universität Mannheim Gesprächsrunde Nichtnumerische Anwendungen im Bereich des Höchstleistungsrechnens des BMBF Berlin, 16./ 17.
Presentation of the 16th List
Presentation of the 16th List Hans- Werner Meuer, University of Mannheim Erich Strohmaier, University of Tennessee Jack J. Dongarra, University of Tennesse Horst D. Simon, NERSC/LBNL SC2000, Dallas, TX,
The TOP500 list. Hans-Werner Meuer University of Mannheim. SPEC Workshop, University of Wuppertal, Germany September 13, 1999
The TOP500 list Hans-Werner Meuer University of Mannheim SPEC Workshop, University of Wuppertal, Germany September 13, 1999 Outline TOP500 Approach HPC-Market as of 6/99 Market Trends, Architecture Trends,
The TOP500 Project of the Universities Mannheim and Tennessee
The TOP500 Project of the Universities Mannheim and Tennessee Hans Werner Meuer University of Mannheim EURO-PAR 2000 29. August - 01. September 2000 Munich/Germany Outline TOP500 Approach HPC-Market as
Supercomputing im Jahr eine Analyse mit Hilfe der TOP500 Listen
Supercomputing im Jahr 2000 - eine Analyse mit Hilfe der TOP500 Listen Hans Werner Meuer Universität Mannheim Feierliche Inbetriebnahme von CLIC TU Chemnitz 11. Oktober 2000 TOP500 CLIC TU Chemnitz View
TOP500 List s Twice-Yearly Snapshots of World s Fastest Supercomputers Develop Into Big Picture of Changing Technology
TOP500 List s Twice-Yearly Snapshots of World s Fastest Supercomputers Develop Into Big Picture of Changing Technology BY ERICH STROHMAIER COMPUTER SCIENTIST, FUTURE TECHNOLOGIES GROUP, LAWRENCE BERKELEY
Das TOP500-Projekt der Universitäten Mannheim und Tennessee zur Evaluierung des Supercomputer Marktes
Das TOP500-Projekt der Universitäten Mannheim und Tennessee zur Evaluierung des Supercomputer Marktes Hans-Werner Meuer Universität Mannheim RUM - Kolloquium 11. Januar 1999, 11:00 Uhr Outline TOP500 Approach
High Performance Computing in Europe and USA: A Comparison
High Performance Computing in Europe and USA: A Comparison Erich Strohmaier 1 and Hans W. Meuer 2 1 NERSC, Lawrence Berkeley National Laboratory, USA 2 University of Mannheim, Germany 1 Introduction In
Presentations: Jack Dongarra, University of Tennessee & ORNL. The HPL Benchmark: Past, Present & Future. Mike Heroux, Sandia National Laboratories
HPC Benchmarking Presentations: Jack Dongarra, University of Tennessee & ORNL The HPL Benchmark: Past, Present & Future Mike Heroux, Sandia National Laboratories The HPCG Benchmark: Challenges It Presents
An Overview of High Performance Computing
IFIP Working Group 10.3 on Concurrent Systems An Overview of High Performance Computing Jack Dongarra University of Tennessee and Oak Ridge National Laboratory 1/3/2006 1 Overview Look at fastest computers
An Overview of High Performance Computing. Jack Dongarra University of Tennessee and Oak Ridge National Laboratory 11/29/2005 1
An Overview of High Performance Computing Jack Dongarra University of Tennessee and Oak Ridge National Laboratory 11/29/ 1 Overview Look at fastest computers From the Top5 Some of the changes that face
Jack Dongarra INNOVATIVE COMP ING LABORATORY. University i of Tennessee Oak Ridge National Laboratory
Computational Science, High Performance Computing, and the IGMCS Program Jack Dongarra INNOVATIVE COMP ING LABORATORY University i of Tennessee Oak Ridge National Laboratory 1 The Third Pillar of 21st
20 Jahre TOP500 mit einem Ausblick auf neuere Entwicklungen
20 Jahre TOP500 mit einem Ausblick auf neuere Entwicklungen Hans Meuer Prometeus GmbH & Universität Mannheim hans@meuer.de ZKI Herbsttagung in Leipzig 11. - 12. September 2012 page 1 Outline Mannheim Supercomputer
Jack Dongarra University of Tennessee and Oak Ridge National Laboratory
Seminario EEUU/Venezuela de Computación de Alto Rendimiento 2000 US/Venezuela Workshop on High Performance Computing 2000 - WoHPC 2000 4 al 6 de Abril del 2000 Puerto La Cruz Venezuela Jack Dongarra University
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester 12/24/09 1 Take a look at high performance computing What s driving HPC Future Trends 2 Traditional scientific
Real Parallel Computers
Real Parallel Computers Modular data centers Overview Short history of parallel machines Cluster computing Blue Gene supercomputer Performance development, top-500 DAS: Distributed supercomputing Short
Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title TOP500 Supercomputers for June 2005 Permalink https://escholarship.org/uc/item/4h84j873 Authors Strohmaier, Erich Meuer,
Making a Case for a Green500 List
Making a Case for a Green500 List S. Sharma, C. Hsu, and W. Feng Los Alamos National Laboratory Virginia Tech Outline Introduction What Is Performance? Motivation: The Need for a Green500 List Challenges
Jack Dongarra University of Tennessee Oak Ridge National Laboratory
Jack Dongarra University of Tennessee Oak Ridge National Laboratory 3/9/11 1 TPP performance Rate Size 2 100 Pflop/s 100000000 10 Pflop/s 10000000 1 Pflop/s 1000000 100 Tflop/s 100000 10 Tflop/s 10000
CSE5351: Parallel Procesisng. Part 1B. UTA Copyright (c) Slide No 1
Slide No 1 CSE5351: Parallel Procesisng Part 1B Slide No 2 State of the Art In Supercomputing Several of the next slides (or modified) are the courtesy of Dr. Jack Dongarra, a distinguished professor of
Self Adapting Numerical Software. Self Adapting Numerical Software (SANS) Effort and Fault Tolerance in Linear Algebra Algorithms
Self Adapting Numerical Software (SANS) Effort and Fault Tolerance in Linear Algebra Algorithms Jack Dongarra University of Tennessee and Oak Ridge National Laboratory 9/19/2005 1 Overview Quick look at
Confessions of an Accidental Benchmarker
Confessions of an Accidental Benchmarker http://bit.ly/hpcg-benchmark 1 Appendix B of the Linpack Users Guide Designed to help users extrapolate execution Linpack software package First benchmark report
Recent Trends in the Marketplace of High Performance Computing
Recent Trends in the Marketplace of High Performance Computing Erich Strohmaier 1, Jack J. Dongarra 2, Hans W. Meuer 3, and Horst D. Simon 4 High Performance Computing, HPC Market, Supercomputer Market,
Top500
Top500 www.top500.org Salvatore Orlando (from a presentation by J. Dongarra, and top500 website) 1 2 MPPs Performance on massively parallel machines Larger problem sizes, i.e. sizes that make sense Performance
CS 5803 Introduction to High Performance Computer Architecture: Performance Metrics
CS 5803 Introduction to High Performance Computer Architecture: Performance Metrics A.R. Hurson 323 Computer Science Building, Missouri S&T hurson@mst.edu 1 Instructor: Ali R. Hurson 323 CS Building hurson@mst.edu
Recent trends in the marketplace of high performance computing
Parallel Computing 31 (2005) 261 273 www.elsevier.com/locate/parco Recent trends in the marketplace of high performance computing Erich Strohmaier a, *, Jack J. Dongarra b,c, Hans W. Meuer d, Horst D.
Jack Dongarra INNOVATIVE COMP ING LABORATORY. University of Tennessee Oak Ridge National Laboratory University of Manchester 1/17/2008 1
Planned Developments of High End Systems Around the World Jack Dongarra INNOVATIVE COMP ING LABORATORY University of Tennessee Oak Ridge National Laboratory University of Manchester 1/17/2008 1 Planned
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester 12/3/09 1 ! Take a look at high performance computing! What s driving HPC! Issues with power consumption! Future
Supercomputers. Alex Reid & James O'Donoghue
Supercomputers Alex Reid & James O'Donoghue The Need for Supercomputers Supercomputers allow large amounts of processing to be dedicated to calculation-heavy problems Supercomputers are centralized in
The marketplace of high-performance computing
Parallel Computing 25 (1999) 1517±1544 www.elsevier.com/locate/parco The marketplace of high-performance computing Erich Strohmaier a, *, Jack J. Dongarra a,b, Hans W. Meuer c, Horst D. Simon d a Computer
Emerging Heterogeneous Technologies for High Performance Computing
MURPA (Monash Undergraduate Research Projects Abroad) Emerging Heterogeneous Technologies for High Performance Computing Jack Dongarra University of Tennessee Oak Ridge National Lab University of Manchester
It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center
It s a Multicore World John Urbanic Pittsburgh Supercomputing Center Waiting for Moore s Law to save your serial code start getting bleak in 2004 Source: published SPECInt data Moore s Law is not at all
An Overview of Computational Science (Based on CSEP)
An Overview of Computational Science (Based on CSEP) Craig C. Douglas January 20-22, 2004 CS 521, Spring 2004 What Is Computational Science? There is no uniformly accepted definition!!! Ken Wilson s definition,
Supercomputers Prestige Objects or Crucial Tools for Science and Industry?
Supercomputers Prestige Objects or Crucial Tools for Science and Industry? Hans W. Meuer a 1, Horst Gietl b 2 a University of Mannheim & Prometeus GmbH, 68131 Mannheim, Germany; b Prometeus GmbH, 81245
The Mont-Blanc approach towards Exascale
http://www.montblanc-project.eu The Mont-Blanc approach towards Exascale Alex Ramirez Barcelona Supercomputing Center Disclaimer: Not only I speak for myself... All references to unavailable products are
Fabio AFFINITO.
Introduction to High Performance Computing Fabio AFFINITO What is the meaning of High Performance Computing? What does HIGH PERFORMANCE mean??? 1976... Cray-1 supercomputer First commercial successful
Leistungsanalyse von Rechnersystemen
Center for Information Services and High Performance Computing (ZIH) Leistungsanalyse von Rechnersystemen 10. November 2010 Nöthnitzer Straße 46 Raum 1026 Tel. +49 351-463 - 35048 Holger Brunst (holger.brunst@tu-dresden.de)
Outline. Execution Environments for Parallel Applications. Supercomputers. Supercomputers
Outline Execution Environments for Parallel Applications Master CANS 2007/2008 Departament d Arquitectura de Computadors Universitat Politècnica de Catalunya Supercomputers OS abstractions Extended OS
An Overview of High Performance Computing and Challenges for the Future
An Overview of High Performance Computing and Challenges for the Future Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester 6/15/2009 1 H. Meuer, H. Simon, E. Strohmaier,
Trends in HPC (hardware complexity and software challenges)
Trends in HPC (hardware complexity and software challenges) Mike Giles Oxford e-research Centre Mathematical Institute MIT seminar March 13th, 2013 Mike Giles (Oxford) HPC Trends March 13th, 2013 1 / 18
European energy efficient supercomputer project
http://www.montblanc-project.eu European energy efficient supercomputer project Simon McIntosh-Smith University of Bristol (Based on slides from Alex Ramirez, BSC) Disclaimer: Speaking for myself... All
Technologies for Information and Health
Energy Defence and Global Security Technologies for Information and Health Atomic Energy Commission HPC in France from a global perspective Pierre LECA Head of «Simulation and Information Sciences Dpt.»
Overview. High Performance Computing - History of the Supercomputer. Modern Definitions (II)
Overview High Performance Computing - History of the Supercomputer Dr M. Probert Autumn Term 2017 Early systems with proprietary components, operating systems and tools Development of vector computing
An Overview of High Performance Computing and Future Requirements
An Overview of High Performance Computing and Future Requirements Jack Dongarra University of Tennessee Oak Ridge National Laboratory 1 H. Meuer, H. Simon, E. Strohmaier, & JD - Listing of the 500 most
Japanese Supercomputer Project. Jun Makino. University of Tokyo
Japanese Supercomputer Project Jun Makino University of Tokyo Japanese Supercomputer Project is the title of my talk in the program Japanese Supercomputer Project is the title of my talk in the program
TOP500 Supercomputer Sites. 11th Edition. Jack J. Dongarra. Computer Science Department. University oftennessee. Knoxville, TN
TOP500 Supercomputer Sites 11th Edition Jack J. Dongarra Computer Science Department University oftennessee Knoxville, TN 37996-1301 and Mathematical Science Section Oak Ridge National Laboratory Oak Ridge,
High Performance Computing
CSC630/CSC730: Parallel & Distributed Computing Trends in HPC 1 High Performance Computing High-performance computing (HPC) is the use of supercomputers and parallel processing techniques for solving complex
It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist
It s a Multicore World John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist Waiting for Moore s Law to save your serial code started getting bleak in 2004 Source: published SPECInt
Chapter 5b: top500. Top 500 Blades Google PC cluster. Computer Architecture Summer b.1
Chapter 5b: top500 Top 500 Blades Google PC cluster Computer Architecture Summer 2005 5b.1 top500: top 10 Rank Site Country/Year Computer / Processors Manufacturer Computer Family Model Inst. type Installation
Search for Optimal Network Topologies for Supercomputers 寻找超级计算机优化的网络拓扑结构
Search for Optimal Network Topologies for Supercomputers 寻找超级计算机优化的网络拓扑结构 GUO, Meng 郭猛 guomeng@sdas.org Shandong Computer Science Center (National Supercomputer Center in Jinan) 山东省计算中心 ( 国家超级计算济南中心 )
Self Adapting Numerical Software (SANS-Effort)
Self Adapting Numerical Software (SANS-Effort) Jack Dongarra Innovative Computing Laboratory University of Tennessee and Oak Ridge National Laboratory 1 Work on Self Adapting Software 1. Lapack For Clusters
Practical Scientific Computing
Practical Scientific Computing Performance-optimized Programming Preliminary discussion: July 11, 2008 Dr. Ralf-Peter Mundani, mundani@tum.de Dipl.-Ing. Ioan Lucian Muntean, muntean@in.tum.de MSc. Csaba
The next generation supercomputer. Masami NARITA, Keiichi KATAYAMA Numerical Prediction Division, Japan Meteorological Agency
The next generation supercomputer and NWP system of JMA Masami NARITA, Keiichi KATAYAMA Numerical Prediction Division, Japan Meteorological Agency Contents JMA supercomputer systems Current system (Mar
Výpočetní zdroje IT4Innovations a PRACE pro využití ve vědě a výzkumu
Výpočetní zdroje IT4Innovations a PRACE pro využití ve vědě a výzkumu Filip Staněk Seminář gridového počítání 2011, MetaCentrum, Brno, 7. 11. 2011 Introduction I Project objectives: to establish a centre
Chapter 1. Introduction
Chapter 1 Introduction Why High Performance Computing? Quote: It is hard to understand an ocean because it is too big. It is hard to understand a molecule because it is too small. It is hard to understand
Roadmapping of HPC interconnects
Roadmapping of HPC interconnects MIT Microphotonics Center, Fall Meeting Nov. 21, 2008 Alan Benner, bennera@us.ibm.com Outline Top500 Systems, Nov. 2008 - Review of most recent list & implications on interconnect
During 1995, Cray Research, Fujitsu, IBM, Intel, NEC, and Silicon Graphics introduced new
view point Gordon Bell Photo illustration by Robert Vizzini 1995 Observations on Supercomputing Alternatives: Did the MPP Bandwagon Lead to a Cul-de-Sac? or over a decade, governf ment and the technical
SC2002, Baltimore (http://www.sc-conference.org/sc2002) From the Earth Simulator to PC Clusters
SC2002, Baltimore (http://www.sc-conference.org/sc2002) From the Earth Simulator to PC Clusters Structure of SC2002 Top500 List Dinosaurs Department Earth simulator US -answers (Cray SX1, ASCI purple),
Supercomputing with Commodity CPUs: Are Mobile SoCs Ready for HPC?
Supercomputing with Commodity CPUs: Are Mobile SoCs Ready for HPC? Nikola Rajovic, Paul M. Carpenter, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Mateo Valero SC 13, November 19 th 2013, Denver, CO, USA
Real Parallel Computers
Real Parallel Computers Modular data centers Background Information Recent trends in the marketplace of high performance computing Strohmaier, Dongarra, Meuer, Simon Parallel Computing 2005 Short history
The Architecture and the Application Performance of the Earth Simulator
The Architecture and the Application Performance of the Earth Simulator Ken ichi Itakura (JAMSTEC) http://www.jamstec.go.jp 15 Dec., 2011 ICTS-TIFR Discussion Meeting-2011 1 Location of Earth Simulator
Multi-core Programming - Introduction
Multi-core Programming - Introduction Based on slides from Intel Software College and Multi-Core Programming increasing performance through software multi-threading by Shameem Akhter and Jason Roberts,
Welcome to the. Jülich Supercomputing Centre. D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich
Mitglied der Helmholtz-Gemeinschaft Welcome to the Jülich Supercomputing Centre D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich Schedule: Thursday, Nov 26 13:00-13:30
Performance Analysis and Prediction for distributed homogeneous Clusters
Performance Analysis and Prediction for distributed homogeneous Clusters Heinz Kredel, Hans-Günther Kruse, Sabine Richling, Erich Strohmaier IT-Center, University of Mannheim, Germany IT-Center, University
ECE5610/CSC6220 Models of Parallel Computers. Recap: What is Parallel Computer?
ECE5610/CSC6220 Models of Parallel Computers Professor Cheng-Zhong Xu Department of Electrical/Computer Engineering Wayne State University Recap: What is Parallel Computer? A parallel computer is a collection
Parallel Languages: Past, Present and Future
Parallel Languages: Past, Present and Future Katherine Yelick U.C. Berkeley and Lawrence Berkeley National Lab 1 Kathy Yelick Internal Outline Two components: control and data (communication/sharing) One
InfiniBand Strengthens Leadership as The High-Speed Interconnect Of Choice
InfiniBand Strengthens Leadership as The High-Speed Interconnect Of Choice Providing the Best Return on Investment by Delivering the Highest System Efficiency and Utilization Top500 Supercomputers June
Parallel computer architecture classification
Parallel computer architecture classification Hardware Parallelism Computing: execute instructions that operate on data. Computer Instructions Data Flynn s taxonomy (Michael Flynn, 1967) classifies computer
It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist
It s a Multicore World John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist Waiting for Moore s Law to save your serial code started getting bleak in 2004 Source: published SPECInt
COSC6365. Introduction to HPC. Lecture 21. Lennart Johnsson Department of Computer Science
Introduction to HPC Lecture 21 Department of Computer Science Most slides from UC Berkeley CS 267 Spring 2011, Lecture 12, Dense Linear Algebra (part 2), Parallel Gaussian Elimination. Jim Demmel Dense
System Packaging Solution for Future High Performance Computing May 31, 2018 Shunichi Kikuchi Fujitsu Limited
System Packaging Solution for Future High Performance Computing May 31, 2018 Shunichi Kikuchi Fujitsu Limited 2018 IEEE 68th Electronic Components and Technology Conference San Diego, California May 29
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester
Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester 11/20/13 1 Rank Site Computer Country Cores Rmax [Pflops] % of Peak Power [MW] MFlops /Watt 1 2 3 4 National
Stockholm Brain Institute Blue Gene/L
Stockholm Brain Institute Blue Gene/L 1 Stockholm Brain Institute Blue Gene/L 2 IBM Systems & Technology Group and IBM Research IBM Blue Gene /P - An Overview of a Petaflop Capable System Carl G. Tengwall
High-Performance Scientific Computing
High-Performance Scientific Computing Instructor: Randy LeVeque TA: Grady Lemoine Applied Mathematics 483/583, Spring 2011 http://www.amath.washington.edu/~rjl/am583 World s fastest computers http://top500.org
Building Self-Healing Mass Storage Arrays. for Large Cluster Systems
Building Self-Healing Mass Storage Arrays for Large Cluster Systems NSC08, Linköping, 14. October 2008 Toine Beckers tbeckers@datadirectnet.com Agenda Company Overview Balanced I/O Systems MTBF and Availability
Welcome to the. Jülich Supercomputing Centre. D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich
Mitglied der Helmholtz-Gemeinschaft Welcome to the Jülich Supercomputing Centre D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich Schedule: Monday, May 18 13:00-13:30 Welcome
The Center for Computational Research
The Center for Computational Research Russ Miller Director, Center for Computational Research UB Distinguished Professor, Computer Science & Engineering Senior Research Scientist, Hauptman-Woodward Medical
Accelerated Computing Jun Makino Interactive Research Center of Science Tokyo Institute of Technology
Accelerated Computing Jun Makino Interactive Research Center of Science Tokyo Institute of Technology IEEE Cluster 2011 Sept 28, 2011 Satoshi s three questions 1. What does accelerated computing solve
Building supercomputers from commodity embedded chips
http://www.montblanc-project.eu Building supercomputers from commodity embedded chips Alex Ramirez Barcelona Supercomputing Center Technical Coordinator This project and the research leading to these results
Comparison of Parallel Processing Systems. Motivation
Comparison of Parallel Processing Systems Ash Dean Katie Willis CS 67 George Mason University Motivation Increasingly, corporate and academic projects require more computing power than a typical PC can
Managing HPC Active Archive Storage with HPSS RAIT at Oak Ridge National Laboratory
Managing HPC Active Archive Storage with HPSS RAIT at Oak Ridge National Laboratory Quinn Mitchell HPC UNIX/LINUX Storage Systems ORNL is managed by UT-Battelle for the US Department of Energy U.S. Department
Intel Many Integrated Core (MIC) Matt Kelly & Ryan Rawlins
Intel Many Integrated Core (MIC) Matt Kelly & Ryan Rawlins Outline History & Motivation Architecture Core architecture Network Topology Memory hierarchy Brief comparison to GPU & Tilera Programming Applications
represent parallel computers, so distributed systems such as Does not consider storage or I/O issues
Top500 Supercomputer list represent parallel computers, so distributed systems such as SETI@Home are not considered Does not consider storage or I/O issues Both custom designed machines and commodity machines
Why we need Exascale and why we won t get there by 2020 Horst Simon Lawrence Berkeley National Laboratory
Why we need Exascale and why we won t get there by 2020 Horst Simon Lawrence Berkeley National Laboratory 2013 International Workshop on Computational Science and Engineering National University of Taiwan
HPC as a Driver for Computing Technology and Education
HPC as a Driver for Computing Technology and Education Tarek El-Ghazawi The George Washington University Washington D.C., USA NOW- July 2015: The TOP 10 Systems Rank Site Computer Cores Rmax [Pflops] %
Lecture 1. Introduction Course Overview
Lecture 1 Introduction Course Overview Welcome to CSE 260! Your instructor is Scott Baden baden@ucsd.edu Office: room 3244 in EBU3B Office hours Week 1: Today (after class), Tuesday (after class) Remainder
Performance Evaluation with the HPCC Benchmarks as a Guide on the Way to Peta Scale Systems
Performance Evaluation with the HPCC Benchmarks as a Guide on the Way to Peta Scale Systems Rolf Rabenseifner, Michael M. Resch, Sunil Tiyyagura, Panagiotis Adamidis rabenseifner@hlrs.de resch@hlrs.de
Introduction of Fujitsu s next-generation supercomputer
Introduction of Fujitsu s next-generation supercomputer MATSUMOTO Takayuki July 16, 2014 HPC Platform Solutions Fujitsu has a long history of supercomputing over 30 years Technologies and experience of
CCS HPC. Interconnection Network. PC MPP (Massively Parallel Processor) MPP IBM
CCS HC taisuke@cs.tsukuba.ac.jp 1 2 CU memoryi/o 2 2 4single chipmulti-core CU 10 C CM (Massively arallel rocessor) M IBM BlueGene/L 65536 Interconnection Network 3 4 (distributed memory system) (shared
The Supercomputer Industry in Light of the Top500 Data
The Supercomputer Industry in Light of the Top500 Data Dror G. Feitelson School of Computer Science and Engineering The Hebrew University of Jerusalem 91904 Jerusalem, Israel Abstract The Top500 list lists
GPU- Aware Design, Implementation, and Evaluation of Non- blocking Collective Benchmarks
GPU- Aware Design, Implementation, and Evaluation of Non- blocking Collective Benchmarks Presented By : Esthela Gallardo Ammar Ahmad Awan, Khaled Hamidouche, Akshay Venkatesh, Jonathan Perkins, Hari Subramoni,
Early Evaluation of the Cray X1 at Oak Ridge National Laboratory
Early Evaluation of the Cray X1 at Oak Ridge National Laboratory Patrick H. Worley Thomas H. Dunigan, Jr. Oak Ridge National Laboratory 45th Cray User Group Conference May 13, 2003 Hyatt on Capital Square
One petaflop per second is a rate of
H IGH-PERFORMANCE C OMPUTING THE QUEST FOR PETASCALE COMPUTING Although the challenges to achieving petascale computing within the next decade are daunting, several software and hardware technologies are
Practical Scientific Computing
Practical Scientific Computing Performance-optimised Programming Preliminary discussion, 17.7.2007 Dr. Ralf-Peter Mundani, mundani@tum.de Dipl.-Ing. Ioan Lucian Muntean, muntean@in.tum.de Dipl.-Geophys.
Programming Techniques for Supercomputers
Programming Techniques for Supercomputers Prof. Dr. G. Wellein (a,b) Dr. G. Hager (a) Dr.-Ing. M. Wittmann (a) (a) HPC Services Regionales Rechenzentrum Erlangen (b) Department für Informatik University
Kengo Nakajima Information Technology Center, The University of Tokyo. SC15, November 16-20, 2015 Austin, Texas, USA
ppopen-hpc Open Source Infrastructure for Development and Execution of Large-Scale Scientific Applications on Post-Peta Scale Supercomputers with Automatic Tuning (AT) Kengo Nakajima Information Technology
HPCG UPDATE: ISC 15 Jack Dongarra Michael Heroux Piotr Luszczek
www.hpcg-benchmark.org 1 HPCG UPDATE: ISC 15 Jack Dongarra Michael Heroux Piotr Luszczek www.hpcg-benchmark.org 2 HPCG Snapshot High Performance Conjugate Gradient (HPCG). Solves Ax=b, A large, sparse,
Lessons learned from the K computer project from the K computer to Exascale
Journal of Physics: Conference Series OPEN ACCESS Lessons learned from the K computer project from the K computer to Exascale To cite this article: Yoshio Oyanagi 2014 J. Phys.: Conf. Ser. 523 012001 View
ORACLE Linux / TSC.
ORACLE Linux / TSC Sekook.jang@oracle.com Unbreakable Linux Unbreakable Support Unbreakable Products Unbreakable Performance Asianux Then. Next? Microsoft Scalability 20 User Workgroup Computing Microsoft