The TOP500 list. Hans-Werner Meuer University of Mannheim. SPEC Workshop, University of Wuppertal, Germany September 13, 1999
|
|
|
- Jonas Sutton
- 5 years ago
- Views:
Transcription
1 The TOP500 list Hans-Werner Meuer University of Mannheim SPEC Workshop, University of Wuppertal, Germany September 13, 1999
2 Outline TOP500 Approach HPC-Market as of 6/99 Market Trends, Architecture Trends, Technology Trends WWW Service for TOP500
3 Background Information - Started in 6/93 by Jack J. Dongarra, Hans W. Meuer and Erich Strohmaier TOP500 Motivation - Basis for analysing the HCP market - Quantification of observations - Detection of trends (market, architecture, technology)
4 TOP500 Procedure Listing of the 500 most powerful Computers in the World for scientific/technical applications Yardstick: R max /LINPACK Updating halfyearly
5 TOP500 Limitations Snapshot in Time LINPACK R max overestimates MPP-Systems Actual Usage is unknown
6 TOP500 Status 1. List in June 1993 Accepted by Users and Manufacturers 13. List on June 12, 1999
7 TOP500 list - Data shown Manufacturer Manufacturer or vendor Computer Type indicated by manufacturer or vendor Inst. Site Customer Location Location and country Year Year of installation/last major update Field of Appl. Academic,Research,Industry,Vendor,Class. # Proc. Number of processors R max Maxmimal LINPACK performance achieved R peak Theoretical peak performance N max Problemsize for achieving R max N 1/2 Problemsize for achieving half of R max N world Position within the TOP500 ranking
8 TOP10 6/99 RANK MANU- FACTURER COMPUTER RMAX [GF/S] 1 Intel ASCI Red SGI ASCI Blue Mountain 1608 INSTALLATION SITE COUNTRY YEAR Sandia National Labs Albuquerque Los Alamos National Laboratory AREA OF INSTALLATION # PROCS USA 1999 Research 9472 USA 1998 Research SGI T3E Government USA 1998 Classified Hitachi SR8000/ University of Tokyo Japan 1999 Academic SGI T3E Government USA 1997 Classified SGI ORIGIN SGI T3E Los Alamos National Laboratory/ACL UK Meteorological Office Bracknell USA 1999 Research 2048 UK IBM SP Silver 547 IBM Poughkeepsie USA SGI T3E SGI T3E Naval Oceanographic Office, Bay Saint Louis UK Centre for Science Manchester USA 1999 Research/ Weather Research/ Energy Research/ Weather UK 1998 Academic 612
9 TOP10 in Europe 6/99 RANK (EUROPE) RANK (WORLD) MANU- FACTURER COMPUTER RMAX [GF/S] 1 7 SGI T3E INSTALLATION SITE COUNTRY YEAR United Kingdom Meteorological Office UK 1997 AREA OF INSTALLATION Research/ Weather 2 10 SGI T3E UK Centre for Science UK 1998 Research 3 15 SGI T3E Deutscher Wetterdienst Germany SGI T3E SGI T3E Max-Planck-Gesellschaft MPI/IPP Forschungszentrum Juelich (FZJ) Research/ Weather Germany 1997 Research Germany 1999 Research 6 22 SGI T3E HWW/Universitaet Stuttgart Germany 1996 Industry 7 32 SGI T3E 234 Forschungszentrum Juelich (FZJ) Germany 1996 Research 8 36 SGI T3E CINECA Italy 1999 Academic 9 39 SGI T3E University of Edinburgh UK 1997 Academic Fujitsu VPP700/ ECMWF UK 1997 Research/ Weather
10 Outline TOP500 Approach HPC-Market as of 6/99 Market Trends, Architecture Trends, Technology Trends WWW Service for TOP500
11 TOP 500 6/99 Japan 11% Others 2% Systems installed USA 60% Europe 27% Total: 500
12 TOP 500 6/99 Japan 14% Others 1% R max installed Europe 23% USA 62% Total: 39,1 Tflops
13 Switzerl. Benelux Germany Spain France UK Italy GUS Scandin. 40% 35% 30% 25% 20% 15% 10% 5% 0% TOP 500 6/99 Number of systems installed in Europe Total: 134
14 HP Compaq Fujitsu Hitachi IBM Intel NEC SGI SUN Other 40% 35% 30% 25% 20% 15% 10% 5% 0% TOP 500 6/99 Number of systems installed Total: 500
15 Outline TOP500 Approach HPC-Market as of 6/99 Market Trends, Architecture Trends, Technology Trends WWW Service for TOP500
16 Performance Development Performance [GFlop/s] Intel XP/S140 Sandia 0.4 SNI VP200EX Uni Dresden Fujitsu 'NWT' NAL Cray Y-MP M94/4 KFA Jülich Fujitsu 'NWT' NAL Cray Y-MP C94/364 'EPA' USA SUM N=1 Hitachi/Tsukuba CP-PACS/2048 N=500 SGI POWER CHALLANGE GOODYEAR Intel ASCI Red Sandia Sun Ultra HPC 1000 News International Intel ASCI Red Sandia Sun HPC Merril Lynch Intel ASCI Red Sandia 24.7 SGI T3E900/38 CIEMAT 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
17 Jun-99 Jun-98 Nov-98 Nov Continents others Japan Europe USA/Canada Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-94 Jun-94 Jun-93 Nov-93
18 Jun-99 Nov Europe - Countries others Switzerland Benelux Scandinavia France UK Germany Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Jun-94 Nov-93 Jun-93
19 Jun-99 Jun-98 Nov-98 Nov Producers Europe Japan USA Nov-95 Jun-96 Nov-96 Jun-97 Jun-95 Nov-94 Jun-94 Jun-93 Nov-93
20 Producers - Performance USA Japan Europe Jun 99 Jun 93 Nov 93 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Performance [GFlop/s]
21 Jun Manufacturer others "Japan Inc" Intel TMC Convex/HP IBM Cray SGI Sun Nov-98 Jun-94 Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Jun-93 Nov-93
22 Manufacturers represented in TOP500 Lists Fujitsu... Hitachi... Intel... NEC... TMC... Compaq... Convex... Cray... Cray Computer... Digital... Hewlett-Packard... IBM... KSR... MasPar... Meiko... Ncube... Parsytec... SGI... Siemens... Sun... 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
23 Jun-99 Jun-98 Nov Customer Type Vendor Classified Academic Industry Research Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Nov-94 Jun-94 Jun-93 Nov-93
24 Jun Industrial Applications unknown non floating point floating point Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Nov 98 Jun 93 Nov 93
25 Customer Type - Performance Research Industry Academic Classified Vendor 10 Jun-93 Jun-94 Jun-95 Jun-96 Jun-97 Jun-98 Jun-99 Performance [GFlop/s]
26 Jun-99 Jun-98 Nov Processor Type SIMD Vektor Scalar Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-94 Jun-93 Nov-93
27 Jun-99 Nov Chip Technology ECL CMOS/ proprietary CMOS/ off the shelf Nov-94 Jun-95 Nov-95 Jun-96 Nov-96 Jun-97 Nov-97 Jun-98 Jun-94 Jun-93 Nov-93
28 Jun 99 Nov Chip Technology others Inmos Transputer SUN MIPS HP intel Power Alpha Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 98 Jun 94 Jun 93 Nov 93
29 Architectures SIMD Cluster MPP SMP Single Processor NOW Jun 99 Jun 98 Nov 98 Jun 94 Nov 94 Jun 95 Nov 95 Jun 96 Nov 96 Jun 97 Nov 97 Jun 93 Nov 93
30 Excerpt from TOP500 RANK MANU- FACTURER COMPUTER RMAX INSTALLATION SITE COUNTRY YEAR AREA OF INSTALLATION 49 Compaq Alpha Server SC Compaq Computer Corp. Littleton # PROC USA 1999 Vendor Sun HPC 450 Cluster Sun, Burlington USA 1999 Vendor Self-made Cplant Cluster Sandia National Laboratories USA 1998 Research Self-made Avalon Cluster 48.6 Los Alamos National Lab/ CNLS USA 1998 Research Siemens hpcline Cluster 30.4 Universitaet Paderborn/PC2 Germany 1999 Academic Self-made Parnass2 Cluster 29.6 University of Bonn/ Applied Mathematic Germany 1999 Academic 128
31 Performance Development Sum N=1 N=10 N=100 N=500 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 Performance [GFlop/s]
32 Performance Development Sum N=1 N=10 N=100 N=500 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 Performance [GFlop/s]
33 Performance Development PFlop/s Sum 1 TFlop/s N=1 N=10 N= 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 Performance [GFlop/s]
34 Outline TOP500 Approach HPC-Market as of 6/99 Market Trends, Architecture Trends, Technology Trends WWW Service for TOP500
35
36
37
38 Thank you! the PP slides may be retrieved via:
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
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
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.
High Performance Computing in Europe and USA: A Comparison
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 Outlook Introduction
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
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,
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
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
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
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
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
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
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,
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 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
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
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
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,
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
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
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
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,
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,
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
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
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
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
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
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
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
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
Start Voyager: Message Passing and DSM on SMP Clusters
HPCS 97 --1 Start Voyager: Message Passing and DSM on SMP Clusters Laboratory for Computer Science Massachusetts Institute of Technology Massively Parallel Processors Shared Memory Cache-coherent KSR HP-Convex
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
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
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.
Performance Analysis of MPI Programs with Vampir and Vampirtrace Bernd Mohr
Performance Analysis of MPI Programs with Vampir and Vampirtrace Bernd Mohr Research Centre Juelich (FZJ) John von Neumann Institute of Computing (NIC) Central Institute for Applied Mathematics (ZAM) 52425
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
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
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
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
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
Dheeraj Bhardwaj May 12, 2003
HPC Systems and Models Dheeraj Bhardwaj Department of Computer Science & Engineering Indian Institute of Technology, Delhi 110 016 India http://www.cse.iitd.ac.in/~dheerajb 1 Sequential Computers Traditional
HPCS HPCchallenge Benchmark Suite
HPCS HPCchallenge Benchmark Suite David Koester, Ph.D. () Jack Dongarra (UTK) Piotr Luszczek () 28 September 2004 Slide-1 Outline Brief DARPA HPCS Overview Architecture/Application Characterization Preliminary
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.»
Parallel Machines. Lecture 6
Lecture 6 Parallel Machines A parallel computer is a connected configuration of processors and memories. The choice space available to a computer architect includes the network topology, the node processor,
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
CSE 260 Introduction to Parallel Computation
CSE 260 Introduction to Parallel Computation Larry Carter carter@cs.ucsd.edu Office Hours: AP&M 4101 MW 10:00-11 or by appointment 9/20/2001 Topics Instances Principles Theory Hardware specific machines
Victor Alessandrini IDRIS - CNRS
Victor Alessandrini IDRIS - CNRS va@idris.fr Cooperative effort of national HPC centres, major HPC users and technology providers, to contribute to the development of computational grid infrastructures
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
CS 267: Introduction to Parallel Machines and Programming Models Lecture 3 "
CS 267: Introduction to Parallel Machines and Lecture 3 " James Demmel www.cs.berkeley.edu/~demmel/cs267_spr15/!!! Outline Overview of parallel machines (~hardware) and programming models (~software) Shared
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
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
CS 267: Introduction to Parallel Machines and Programming Models Lecture 3 "
CS 267: Introduction to Parallel Machines and Programming Models Lecture 3 " James Demmel www.cs.berkeley.edu/~demmel/cs267_spr16/!!! Outline Overview of parallel machines (~hardware) and programming models
MIMD Overview. Intel Paragon XP/S Overview. XP/S Usage. XP/S Nodes and Interconnection. ! Distributed-memory MIMD multicomputer
MIMD Overview Intel Paragon XP/S Overview! MIMDs in the 1980s and 1990s! Distributed-memory multicomputers! Intel Paragon XP/S! Thinking Machines CM-5! IBM SP2! Distributed-memory multicomputers with hardware
Top500 Supercomputer list
Top500 Supercomputer list Tends to represent parallel computers, so distributed systems such as SETI@Home are neglected. Does not consider storage or I/O issues Both custom designed machines and commodity
The Transputer in Tokyo, David May
The Transputer in Tokyo, 1984 David May Bristol November 2014 Inmos 1978 www.cs.bris.ac.uk/ dave 2 Bristol November 2014 Background 1978-83 1978: Inmos founded with 50 million backing from UK government
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
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
Number of processing elements (PEs). Computing power of each element. Amount of physical memory used. Data access, Communication and Synchronization
Parallel Computer Architecture A parallel computer is a collection of processing elements that cooperate to solve large problems fast Broad issues involved: Resource Allocation: Number of processing elements
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
JÜLICH SUPERCOMPUTING CENTRE Site Introduction Michael Stephan Forschungszentrum Jülich
JÜLICH SUPERCOMPUTING CENTRE Site Introduction 09.04.2018 Michael Stephan JSC @ Forschungszentrum Jülich FORSCHUNGSZENTRUM JÜLICH Research Centre Jülich One of the 15 Helmholtz Research Centers in Germany
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
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
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
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
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
NOW Handout Page 1 NO! Today s Goal: CS 258 Parallel Computer Architecture. What will you get out of CS258? Will it be worthwhile?
Today s Goal: CS 258 Parallel Computer Architecture Introduce you to Parallel Computer Architecture Answer your questions about CS 258 Provide you a sense of the trends that shape the field CS 258, Spring
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
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
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)
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
HPC SERVICE PROVISION FOR THE UK
HPC SERVICE PROVISION FOR THE UK 5 SEPTEMBER 2016 Dr Alan D Simpson ARCHER CSE Director EPCC Technical Director Overview Tiers of HPC Tier 0 PRACE Tier 1 ARCHER DiRAC Tier 2 EPCC Oxford Cambridge UCL Tiers
CS 252 Graduate Computer Architecture. Lecture 17 Parallel Processors: Past, Present, Future
CS 252 Graduate Computer Architecture Lecture 17 Parallel Processors: Past, Present, Future Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~krste
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
Parallel Programming
Parallel Programming Introduction Diego Fabregat-Traver and Prof. Paolo Bientinesi HPAC, RWTH Aachen fabregat@aices.rwth-aachen.de WS15/16 Acknowledgements Prof. Felix Wolf, TU Darmstadt Prof. Matthias
Trends in HPC Architectures and Parallel
Trends in HPC Architectures and Parallel Programmming Giovanni Erbacci - g.erbacci@cineca.it Supercomputing, Applications & Innovation Department - CINECA Agenda - Computational Sciences - Trends in Parallel
Earth System Sciences in the Times of Brilliant Technologies
Earth System Sciences in the Times of Brilliant Technologies ICES Biennial Workshop, Geneva, Switzerland Prof. Dr. Thomas Ludwig German Climate Computing Center (DKRZ) University of Hamburg, Department
Jülich Supercomputing Centre
Mitglied der Helmholtz-Gemeinschaft Jülich Supercomputing Centre Norbert Attig Jülich Supercomputing Centre (JSC) Forschungszentrum Jülich (FZJ) Aug 26, 2009 DOAG Regionaltreffen NRW 2 Supercomputing at
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
Chapter 2. Parallel Architectures
Chapter 2 Parallel Architectures 2.1 Hardware-Architecture Flynn s Classification The most well known and simple classification scheme differentiates according to the multiplicity of instruction and data
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
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
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
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
Commodity Cluster Computing
Commodity Cluster Computing Ralf Gruber, EPFL-SIC/CAPA/Swiss-Tx, Lausanne http://capawww.epfl.ch Commodity Cluster Computing 1. Introduction 2. Characterisation of nodes, parallel machines,applications
INSPUR and HPC Innovation
INSPUR and HPC Innovation Dong Qi (Forrest) Product manager Inspur dongqi@inspur.com Contents 1 2 3 4 5 Inspur introduction HPC Challenge and Inspur HPC strategy HPC cases Inspur contribution to HPC community
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
Fujitsu s Approach to Application Centric Petascale Computing
Fujitsu s Approach to Application Centric Petascale Computing 2 nd Nov. 2010 Motoi Okuda Fujitsu Ltd. Agenda Japanese Next-Generation Supercomputer, K Computer Project Overview Design Targets System Overview
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
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
CRAY XK6 REDEFINING SUPERCOMPUTING. - Sanjana Rakhecha - Nishad Nerurkar
CRAY XK6 REDEFINING SUPERCOMPUTING - Sanjana Rakhecha - Nishad Nerurkar CONTENTS Introduction History Specifications Cray XK6 Architecture Performance Industry acceptance and applications Summary INTRODUCTION
INSPUR and HPC Innovation. Dong Qi (Forrest) Oversea PM
INSPUR and HPC Innovation Dong Qi (Forrest) Oversea PM dongqi@inspur.com Contents 1 2 3 4 5 Inspur introduction HPC Challenge and Inspur HPC strategy HPC cases Inspur contribution to HPC community Inspur
Computer Comparisons Using HPCC. Nathan Wichmann Benchmark Engineer
Computer Comparisons Using HPCC Nathan Wichmann Benchmark Engineer Outline Comparisons using HPCC HPCC test used Methods used to compare machines using HPCC Normalize scores Weighted averages Comparing
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),
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,
SPEC MPI2007 Benchmarks for HPC Systems
SPEC MPI2007 Benchmarks for HPC Systems Ron Lieberman Chair, SPEC HPG HP-MPI Performance Hewlett-Packard Company Dr. Tom Elken Manager, Performance Engineering QLogic Corporation Dr William Brantley Manager