Jezelf Groen Rekenen met Supercomputers

Size: px
Start display at page:

Download "Jezelf Groen Rekenen met Supercomputers"

Transcription

1 Jezelf Groen Rekenen met Supercomputers Symposium Groene ICT en duurzaamheid: Nieuwe energie in het hoger onderwijs Walter Lioen Groepsleider Supercomputing

2 About SURFsara SURFsara offers an integrated ICT research infrastructure and provides services in the areas of computing, data storage, visualization, networking, cloud and e-science. SARA was founded in 1971 as an Amsterdam computing center by the two Amsterdam universities (UvA and VU) and the current CWI. Independent as of Founded Vancis in 2008 offering ICT services and ICT products to enterprises, universities, and educational and healthcare institutions. As from 1 January 2013, SARA from then on SURFsara forms part of the SURF Foundation. First supercomputer in The Netherlands in 1984 (Control Data Cyber 205). Hosting the national supercomputer(s) ever since. January 30,

3 What is a Supercomputer? A supercomputer is a computer at the frontline of current processing capacity, particularly speed of calculation Consequently, the specification of a supercomputer is constantly changing Rule of thumb: a supercomputer is at least 1,000 10,000 up to 100,000 times faster than an average PC January 30,

4 Why supercomputing? Large scale scientific computing Simulation of processes tot are otherwise - Impossible in practice - Too expensive - Too dangerous - Too extended Examples - Astronomy - How did the universe begin? - How do stars form and evolve? - Weather Prediction, Climatology - Nuclear Physics - Aerodynamics (cars, planes, rockets) - Biology (proteins, DNA, drugs) - Medical sciences (bone formation, blood flow) January 30,

5 Top500: PFlop/s HPL, the High-Performance Linpack benchmark, solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers For Tianhe-2, the as of June 2013 nr. 1 (3,120,000 cores, 54.9 PFlop/s, 17.8 MW): - n = 9,960,000 Computational kernel: DGEMM (matrix multiply) Extremely efficient on all processors (in cache) Limiting factors: - Speed of interconnect - Speed to (local accelerator) memory (for e.g. GPGPU) However, far more important: application speed In Amsterdam a Ferrari is useless (speed-wise) January 30,

6 Top500 ipad 2 performance An A5 processor core of an ipad 2 is as fast as a four processor Cray 2 supercomputer (1.951 GFlop/s) In 1985 an eight processor Cray 2 was the fastest supercomputer in the world The ipad 2 would still have been listed in the Top500 of 1994 January 30,

7 Green500: MFlop/s / Watt November 2013 Green500 List observations: Rank 1 10: (Intel Xeon + NVIDIA K20) - commodity processors with GPGPUs (graphics processing units) Rank 1: TSUBAME-KFC (Japan, Ivy Bridge + NVIDIA K20x) - 4, MFlop/s / W (first time > 4 GFlop/s / W) - An exaflop system would require 222 MW (DARPA s target is > 1 EFlop/s using < 20 MW) Rank 4: Piz Daint (Switzerland, Cray XC30, Sandy Bridge + NVIDIA K20x) - 3, MFlop/s / W - the greenest petaflop supercomputer - the current Top500 #6 Rank 12: (USA, Blue Gene/Q) - 2, MFlop/s / W - highest ranked non-heterogeneous (CPU only) system Rank 40: Thianhe-2 (China, Ivy Bridge + Xeon Phi) - 1, MFlop/s / W - the current Top500 #1 January 30,

8 SURFsara National Supercomputing History Year Machine R peak GFlop/s kw GFlop/s / kw 1984 CDC Cyber pipe CDC Cyber pipe Cray Y-MP/ Cray C98/ Cray C916/ SGI Origin , SGI Origin Altix , IBM p575 Power5+ 14, IBM p575 Power6 62, IBM p575 Power6 64, Bull bullx B710 (DLC) + R , Bull bullx B515 (NVIDIA K40) >200,000 <60 > Bull bullx complete system >1,000,000 >520 >1923 January 30,

9 Moore s Law (1965) The number of transistors on an integrated circuit doubles every 2 years Because of faster transistors, the speed doubles every 18 months The clock speed stopped doubling a couple of years ago Nowadays the number of cores doubles Moore noted that if car manufacturers had something like this, cars would get 100,000 miles to the gallon and it would be cheaper to buy a Rolls Royce than park it. (Cars would also be only a half an inch long.) January 30,

10 Cartesius specs Phase 1 (production June 2013, total peak performance 271 TFlop/s) Direct Liquid Cooled thin node islands thin nodes, 2 12-core 2.4 GHz Intel Ivy Bridge CPUs/node, 64 GB/node thin nodes, 2 12-core 2.4 GHz Intel Ivy Bridge CPUs/node, 64 GB/node Fat node island - 32 fat nodes, 4 8-core Intel Sandy Bridge CPUs/node, 256 GB/node Total - 13,968 cores, TB memory, 2.4 PB disk - Interconnect: InfiniBand 56 Gbit/s bandwidth, 3 µs latency - Top 500 November 2013: # 184 Phase 1.5 (scheduled production 2014 Q2, total peak performance ~ 470 TFlop/s) Addition of accelerator island - 66 nodes, 2 Intel Ivy Bridge CPUs/node, 2 NVIDIA Tesla K40 GPGPUs/node Phase 2 (scheduled production 2014 H2, total peak performance > 1 PFlop/s) On-demand addition of thin node islands with latest Intel Haswell CPUs January 30,

11 Cartesius Greenness All thin compute nodes use Direct Liquid Cooling - inlet temperature 30ºC: warm water cooling - free cooling if outdoor temperature < 30ºC in Amsterdam: 99.1% of days - (Cartesius System) Power Usage Effectiveness 1.2 (typical PUE for cold water cooling: 1.4; air cooling: 1.6) System requirements based on detailed usage analysis - which user applications - actual memory usage - I/O profiles Optimized price/performance - TCO: total budget =investment + energy + cooling + housing + ups (storage only) - performance: application throughput using the 7 most relevant applications (# jobs / lifetime) - maximization of application throughput / TCO (optimization of power related costs vs. investment costs) left as an exercise for the vendor during the procurement - result: using slower processors (lower clock frequency) January 30,

12 Cartesius Greenness On demand growth - minimizes idle time - use latest technology maximizes value for money - higher performance - lower energy - (less good for Top500 ranking) On demand growth: accelerator island (NVIDIA K40) - Phase 1 and Phase 2 (both CPU only) are general purpose - accelerators are more special purpose - can deliver more MFlop/s / Watt - efficient use of accelerators requires - suitable applications - investment in programming effort - proven interest of more than 10 research groups January 30,

13 Scalable Hybrid Architecture PRACE-2IP prototype: Bull CSC, Finland EU collaboration: CSC, SURFsara, CSCS 44 nodes with two Intel Xeon Phi 7120X co-processors 37 nodes with two NVIDIA K40 GPGPUs SURFsara research topics: Programming paradigms - Application porting to accelerator + MPI Energy policies - Dynamic Voltage and Frequency Scaling (DVFS) Adjust frequency and voltage of the CPU. The actual workload determines which frequency/voltage is chosen. - Dynamic Power Management (DPM) Power off when device becomes idle. Activation uses temporarily more energy. - Maybe a hybrid policy, e.g. a mix of DPM and DVFS, is preferable. January 30,

14 Measuring Energy Consumption of Applications MRA Cluster Green Software - SEFLab Software Energy Footprint Lab (founded by SIG and HvA) R&D project - SURFsara one of the seven partners Provide insight in energy consumption - Total consumption after run - Consumption during run (time curve) Using sensors in modern CPUs (RAPL) - CPU cores - Memory controller - PAPI to read hardware counters - Correlate with performance measurements (Flop/s/Watt) Using sensors on node (IPMI) - Memory - Disk drives - Network card Use SLURM (Cartesius batch system) - Link with resource manager - Energy consumption in job report January 30,

15 Energy Technology Prof. dr. ir. Bendiks Jan Boersma (TU Delft) Studies - conversion of heat into work or movement - conversion of movement into electricity - interaction between liquids and their environment - fluid mechanics Lower resistance in pipe networks using agents, polymers or chemicals - Gasunie during cold winters - Oil companies Trans-Alaska pipeline - Drilling of oil wells - Fire fighting in situations where the water must be sprayed twice as high or far Two images of axial velocity in a crosssection of a pipe flow. The pictures show the friction Reynolds number January 30,

16 Sustainable Energy Dr. Evgeny Pidko (TU/e assistant professor) Field of study: computational catalysis for sustainable energy technologies Combining theory and experiment to understand mechanisms of catalytic reactions on a molecular level Computational studies using state-of-the-art quantum chemical methods Used to formulate design rules for new and improved catalytic systems Studying different processes related to the conversion of biomass and carbon dioxide to value-added chemicals and fuel components (fuels) Research also focuses on more classical chemical systems in order to make technologies greener January 30,

17 Thank you for listening! January 30,

TSUBAME-KFC : a Modern Liquid Submersion Cooling Prototype Towards Exascale

TSUBAME-KFC : a Modern Liquid Submersion Cooling Prototype Towards Exascale TSUBAME-KFC : a Modern Liquid Submersion Cooling Prototype Towards Exascale Toshio Endo,Akira Nukada, Satoshi Matsuoka GSIC, Tokyo Institute of Technology ( 東 京 工 業 大 学 ) Performance/Watt is the Issue

More information

Building a Top500-class Supercomputing Cluster at LNS-BUAP

Building a Top500-class Supercomputing Cluster at LNS-BUAP Building a Top500-class Supercomputing Cluster at LNS-BUAP Dr. José Luis Ricardo Chávez Dr. Humberto Salazar Ibargüen Dr. Enrique Varela Carlos Laboratorio Nacional de Supercómputo Benemérita Universidad

More information

Building an energy dashboard. Energy measurement and visualization in current HPC systems

Building an energy dashboard. Energy measurement and visualization in current HPC systems Building an energy dashboard Energy measurement and visualization in current HPC systems Thomas Geenen 1/58 thomas.geenen@surfsara.nl SURFsara The Dutch national HPC center 2H 2014 > 1PFlop GPGPU accelerators

More information

HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK

HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK Steve Oberlin CTO, Accelerated Computing US to Build Two Flagship Supercomputers SUMMIT SIERRA Partnership for Science 100-300 PFLOPS Peak Performance

More information

InfiniBand Strengthens Leadership as the High-Speed Interconnect Of Choice

InfiniBand Strengthens Leadership as the High-Speed Interconnect Of Choice InfiniBand Strengthens Leadership as the High-Speed Interconnect Of Choice Provides the Best Return-on-Investment by Delivering the Highest System Efficiency and Utilization TOP500 Supercomputers June

More information

Trends in High-Performance Computing for Power Grid Applications

Trends in High-Performance Computing for Power Grid Applications Trends in High-Performance Computing for Power Grid Applications Franz Franchetti ECE, Carnegie Mellon University www.spiral.net Co-Founder, SpiralGen www.spiralgen.com This talk presents my personal views

More information

Linux Cluster Computing An Administrator s Perspective

Linux Cluster Computing An Administrator s Perspective Linux Cluster Computing An Administrator s Perspective Robert Whitinger Traques LLC and High Performance Computing Center East Tennessee State University : http://lxer.com/pub/self2015_clusters.pdf 2015-Jun-14

More information

TECHNICAL GUIDELINES FOR APPLICANTS TO PRACE 7 th CALL (Tier-0)

TECHNICAL GUIDELINES FOR APPLICANTS TO PRACE 7 th CALL (Tier-0) TECHNICAL GUIDELINES FOR APPLICANTS TO PRACE 7 th CALL (Tier-0) Contributing sites and the corresponding computer systems for this call are: GCS@Jülich, Germany IBM Blue Gene/Q GENCI@CEA, France Bull Bullx

More information

Jean-Pierre Panziera Teratec 2011

Jean-Pierre Panziera Teratec 2011 Technologies for the future HPC systems Jean-Pierre Panziera Teratec 2011 3 petaflop systems : TERA 100, CURIE & IFERC Tera100 Curie IFERC 1.25 PetaFlops 256 TB ory 30 PB disk storage 140 000+ Xeon cores

More information

GPU System Architecture. Alan Gray EPCC The University of Edinburgh

GPU System Architecture. Alan Gray EPCC The University of Edinburgh GPU System Architecture EPCC The University of Edinburgh Outline Why do we want/need accelerators such as GPUs? GPU-CPU comparison Architectural reasons for GPU performance advantages GPU accelerated systems

More information

Introduction History Design Blue Gene/Q Job Scheduler Filesystem Power usage Performance Summary Sequoia is a petascale Blue Gene/Q supercomputer Being constructed by IBM for the National Nuclear Security

More information

Parallel Computing. Introduction

Parallel Computing. Introduction Parallel Computing Introduction Thorsten Grahs, 14. April 2014 Administration Lecturer Dr. Thorsten Grahs (that s me) t.grahs@tu-bs.de Institute of Scientific Computing Room RZ 120 Lecture Monday 11:30-13:00

More information

Interconnect Your Future Enabling the Best Datacenter Return on Investment. TOP500 Supercomputers, June 2016

Interconnect Your Future Enabling the Best Datacenter Return on Investment. TOP500 Supercomputers, June 2016 Interconnect Your Future Enabling the Best Datacenter Return on Investment TOP500 Supercomputers, June 2016 Mellanox Leadership in High Performance Computing Most Deployed Interconnect in High Performance

More information

Journée Mésochallenges 2015 SysFera and ROMEO Make Large-Scale CFD Simulations Only 3 Clicks Away

Journée Mésochallenges 2015 SysFera and ROMEO Make Large-Scale CFD Simulations Only 3 Clicks Away SysFera and ROMEO Make Large-Scale CFD Simulations Only 3 Clicks Away Benjamin Depardon SysFera Sydney Tekam Tech-Am ING Arnaud Renard ROMEO Manufacturing with HPC 98% of products will be developed digitally

More information

Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales

Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes Anthony Kenisky, VP of North America Sales About Appro Over 20 Years of Experience 1991 2000 OEM Server Manufacturer 2001-2007

More information

Evoluzione dell Infrastruttura di Calcolo e Data Analytics per la ricerca

Evoluzione dell Infrastruttura di Calcolo e Data Analytics per la ricerca Evoluzione dell Infrastruttura di Calcolo e Data Analytics per la ricerca Carlo Cavazzoni CINECA Supercomputing Application & Innovation www.cineca.it 21 Aprile 2015 FERMI Name: Fermi Architecture: BlueGene/Q

More information

GPU Hardware and Programming Models. Jeremy Appleyard, September 2015

GPU Hardware and Programming Models. Jeremy Appleyard, September 2015 GPU Hardware and Programming Models Jeremy Appleyard, September 2015 A brief history of GPUs In this talk Hardware Overview Programming Models Ask questions at any point! 2 A Brief History of GPUs 3 Once

More information

High-Performance Computing and Big Data Challenge

High-Performance Computing and Big Data Challenge High-Performance Computing and Big Data Challenge Dr Violeta Holmes Matthew Newall The University of Huddersfield Outline High-Performance Computing E-Infrastructure Top500 -Tianhe-II UoH experience: HPC

More information

The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems

The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems 202 IEEE 202 26th IEEE International 26th International Parallel Parallel and Distributed and Distributed Processing Processing Symposium Symposium Workshops Workshops & PhD Forum The Green Index: A Metric

More information

Mississippi State University High Performance Computing Collaboratory Brief Overview. Trey Breckenridge Director, HPC

Mississippi State University High Performance Computing Collaboratory Brief Overview. Trey Breckenridge Director, HPC Mississippi State University High Performance Computing Collaboratory Brief Overview Trey Breckenridge Director, HPC Mississippi State University Public university (Land Grant) founded in 1878 Traditional

More information

Parallel Programming Survey

Parallel Programming Survey Christian Terboven 02.09.2014 / Aachen, Germany Stand: 26.08.2014 Version 2.3 IT Center der RWTH Aachen University Agenda Overview: Processor Microarchitecture Shared-Memory

More information

ANALYSIS OF SUPERCOMPUTER DESIGN

ANALYSIS OF SUPERCOMPUTER DESIGN ANALYSIS OF SUPERCOMPUTER DESIGN CS/ECE 566 Parallel Processing Fall 2011 1 Anh Huy Bui Nilesh Malpekar Vishnu Gajendran AGENDA Brief introduction of supercomputer Supercomputer design concerns and analysis

More information

High Performance Computing in CST STUDIO SUITE

High Performance Computing in CST STUDIO SUITE High Performance Computing in CST STUDIO SUITE Felix Wolfheimer GPU Computing Performance Speedup 18 16 14 12 10 8 6 4 2 0 Promo offer for EUC participants: 25% discount for K40 cards Speedup of Solver

More information

COMP/CS 605: Intro to Parallel Computing Lecture 01: Parallel Computing Overview (Part 1)

COMP/CS 605: Intro to Parallel Computing Lecture 01: Parallel Computing Overview (Part 1) COMP/CS 605: Intro to Parallel Computing Lecture 01: Parallel Computing Overview (Part 1) Mary Thomas Department of Computer Science Computational Science Research Center (CSRC) San Diego State University

More information

Energy efficient computing on Embedded and Mobile devices. Nikola Rajovic, Nikola Puzovic, Lluis Vilanova, Carlos Villavieja, Alex Ramirez

Energy efficient computing on Embedded and Mobile devices. Nikola Rajovic, Nikola Puzovic, Lluis Vilanova, Carlos Villavieja, Alex Ramirez Energy efficient computing on Embedded and Mobile devices Nikola Rajovic, Nikola Puzovic, Lluis Vilanova, Carlos Villavieja, Alex Ramirez A brief look at the (outdated) Top500 list Most systems are built

More information

OpenMP Programming on ScaleMP

OpenMP Programming on ScaleMP OpenMP Programming on ScaleMP Dirk Schmidl schmidl@rz.rwth-aachen.de Rechen- und Kommunikationszentrum (RZ) MPI vs. OpenMP MPI distributed address space explicit message passing typically code redesign

More information

Cluster Computing at HRI

Cluster Computing at HRI Cluster Computing at HRI J.S.Bagla Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, Allahabad 211019. E-mail: jasjeet@mri.ernet.in 1 Introduction and some local history High performance computing

More information

Overview of HPC Resources at Vanderbilt

Overview of HPC Resources at Vanderbilt Overview of HPC Resources at Vanderbilt Will French Senior Application Developer and Research Computing Liaison Advanced Computing Center for Research and Education June 10, 2015 2 Computing Resources

More information

Clusters: Mainstream Technology for CAE

Clusters: Mainstream Technology for CAE Clusters: Mainstream Technology for CAE Alanna Dwyer HPC Division, HP Linux and Clusters Sparked a Revolution in High Performance Computing! Supercomputing performance now affordable and accessible Linux

More information

Defying the Laws of Physics in/with HPC. Rafa Grimán HPC Architect

Defying the Laws of Physics in/with HPC. Rafa Grimán HPC Architect Defying the Laws of Physics in/with HPC 2013 11 12 Rafa Grimán HPC Architect 1 Agenda Bull Scalability ExaFLOP / Exascale Bull s PoV? Bar 2 Bull 3 Mastering Value Chain for Critical Processes From infrastructures

More information

EnA-HPC Sept. 2013. Jean-Pierre Panziera Chief Technology Director

EnA-HPC Sept. 2013. Jean-Pierre Panziera Chief Technology Director EnA-HPC Sept. 2013 Jean-Pierre Panziera Chief Technology Director 1 Bull: from Supercomputers to Cloud Computing Expertise & services Software HPC Systems Architecture Applications & Performance Energy

More information

Mixed Precision Iterative Refinement Methods Energy Efficiency on Hybrid Hardware Platforms

Mixed Precision Iterative Refinement Methods Energy Efficiency on Hybrid Hardware Platforms Mixed Precision Iterative Refinement Methods Energy Efficiency on Hybrid Hardware Platforms Björn Rocker Hamburg, June 17th 2010 Engineering Mathematics and Computing Lab (EMCL) KIT University of the State

More information

A GPU COMPUTING PLATFORM (SAGA) AND A CFD CODE ON GPU FOR AEROSPACE APPLICATIONS

A GPU COMPUTING PLATFORM (SAGA) AND A CFD CODE ON GPU FOR AEROSPACE APPLICATIONS A GPU COMPUTING PLATFORM (SAGA) AND A CFD CODE ON GPU FOR AEROSPACE APPLICATIONS SUDHAKARAN.G APCF, AERO, VSSC, ISRO 914712564742 g_suhakaran@vssc.gov.in THOMAS.C.BABU APCF, AERO, VSSC, ISRO 914712565833

More information

ECDF Infrastructure Refresh - Requirements Consultation Document

ECDF Infrastructure Refresh - Requirements Consultation Document Edinburgh Compute & Data Facility - December 2014 ECDF Infrastructure Refresh - Requirements Consultation Document Introduction In order to sustain the University s central research data and computing

More information

The K computer: Project overview

The K computer: Project overview The Next-Generation Supercomputer The K computer: Project overview SHOJI, Fumiyoshi Next-Generation Supercomputer R&D Center, RIKEN The K computer Outline Project Overview System Configuration of the K

More information

Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing

Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing Innovation Intelligence Devin Jensen August 2012 Altair Knows HPC Altair is the only company that: makes HPC tools

More information

Interconnect Your Future Enabling the Best Datacenter Return on Investment. TOP500 Supercomputers, November 2015

Interconnect Your Future Enabling the Best Datacenter Return on Investment. TOP500 Supercomputers, November 2015 Interconnect Your Future Enabling the Best Datacenter Return on Investment TOP500 Supercomputers, November 2015 InfiniBand FDR and EDR Continue Growth and Leadership The Most Used Interconnect On The TOP500

More information

BSC - Barcelona Supercomputer Center

BSC - Barcelona Supercomputer Center Objectives Research in Supercomputing and Computer Architecture Collaborate in R&D e-science projects with prestigious scientific teams Manage BSC supercomputers to accelerate relevant contributions to

More information

Lecture 11: Multi-Core and GPU. Multithreading. Integration of multiple processor cores on a single chip.

Lecture 11: Multi-Core and GPU. Multithreading. Integration of multiple processor cores on a single chip. Lecture 11: Multi-Core and GPU Multi-core computers Multithreading GPUs General Purpose GPUs Zebo Peng, IDA, LiTH 1 Multi-Core System Integration of multiple processor cores on a single chip. To provide

More information

Panasas High Performance Storage Powers the First Petaflop Supercomputer at Los Alamos National Laboratory

Panasas High Performance Storage Powers the First Petaflop Supercomputer at Los Alamos National Laboratory Customer Success Story Los Alamos National Laboratory Panasas High Performance Storage Powers the First Petaflop Supercomputer at Los Alamos National Laboratory June 2010 Highlights First Petaflop Supercomputer

More information

Parallelism and Cloud Computing

Parallelism and Cloud Computing Parallelism and Cloud Computing Kai Shen Parallel Computing Parallel computing: Process sub tasks simultaneously so that work can be completed faster. For instances: divide the work of matrix multiplication

More information

Crossing the Performance Chasm with OpenPOWER

Crossing the Performance Chasm with OpenPOWER Crossing the Performance Chasm with OpenPOWER Dr. Srini Chari Cabot Partners/IBM chari@cabotpartners.com #OpenPOWERSummit Join the conversation at #OpenPOWERSummit 1 Disclosure Copyright 215. Cabot Partners

More information

PRIMERGY server-based High Performance Computing solutions

PRIMERGY server-based High Performance Computing solutions PRIMERGY server-based High Performance Computing solutions PreSales - May 2010 - HPC Revenue OS & Processor Type Increasing standardization with shift in HPC to x86 with 70% in 2008.. HPC revenue by operating

More information

The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014

The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014 The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014 David Rohr 1, Gvozden Nešković 1, Volker Lindenstruth 1,2 DOI: 10.14529/jsfi150304

More information

Barry Bolding, Ph.D. VP, Cray Product Division

Barry Bolding, Ph.D. VP, Cray Product Division Barry Bolding, Ph.D. VP, Cray Product Division 1 Corporate Overview Trends in Supercomputing Types of Supercomputing and Cray s Approach The Cloud The Exascale Challenge Conclusion 2 Slide 3 Seymour Cray

More information

Amazon Cloud Performance Compared. David Adams

Amazon Cloud Performance Compared. David Adams Amazon Cloud Performance Compared David Adams Amazon EC2 performance comparison How does EC2 compare to traditional supercomputer for scientific applications? "Performance Analysis of High Performance

More information

Van SARA naar Vancis ICT voor de Kenniseconomie. Dr. Anwar Osseyran SARA/Vancis Managing Director osseyran@sara.nl

Van SARA naar Vancis ICT voor de Kenniseconomie. Dr. Anwar Osseyran SARA/Vancis Managing Director osseyran@sara.nl Van SARA naar Vancis ICT voor de Kenniseconomie Dr. Anwar Osseyran SARA/Vancis Managing Director osseyran@sara.nl Science Park Amsterdam a world of science in a city of inspiration Faculty of Science of

More information

THE DEFINITIVE GUIDE FOR AWS CLOUD EC2 FAMILIES

THE DEFINITIVE GUIDE FOR AWS CLOUD EC2 FAMILIES THE DEFINITIVE GUIDE FOR AWS CLOUD EC2 FAMILIES Introduction Amazon Web Services (AWS), which was officially launched in 2006, offers you varying cloud services that are not only cost effective, but also

More information

SURFsara HPC Cloud Workshop

SURFsara HPC Cloud Workshop SURFsara HPC Cloud Workshop doc.hpccloud.surfsara.nl UvA workshop 2016-01-25 UvA HPC Course Jan 2016 Anatoli Danezi, Markus van Dijk cloud-support@surfsara.nl Agenda Introduction and Overview (current

More information

Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency. Steve Hammond NREL

Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency. Steve Hammond NREL Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency NREL 1 National Renewable Energy Laboratory Presentation Road Map A Holistic Approach to Efficiency: Power, Packaging, Cooling, Integration

More information

HPC-related R&D in 863 Program

HPC-related R&D in 863 Program HPC-related R&D in 863 Program Depei Qian Sino-German Joint Software Institute (JSI) Beihang University Aug. 27, 2010 Outline The 863 key project on HPC and Grid Status and Next 5 years 863 efforts on

More information

Lecture 1: the anatomy of a supercomputer

Lecture 1: the anatomy of a supercomputer Where a calculator on the ENIAC is equipped with 18,000 vacuum tubes and weighs 30 tons, computers of the future may have only 1,000 vacuum tubes and perhaps weigh 1½ tons. Popular Mechanics, March 1949

More information

Build an Energy Efficient Supercomputer from Items You can Find in Your Home (Sort of)!

Build an Energy Efficient Supercomputer from Items You can Find in Your Home (Sort of)! Build an Energy Efficient Supercomputer from Items You can Find in Your Home (Sort of)! Marty Deneroff Chief Technology Officer Green Wave Systems, Inc. deneroff@grnwv.com 1 Using COTS Intellectual Property,

More information

Accelerating From Cluster to Cloud: Overview of RDMA on Windows HPC. Wenhao Wu Program Manager Windows HPC team

Accelerating From Cluster to Cloud: Overview of RDMA on Windows HPC. Wenhao Wu Program Manager Windows HPC team Accelerating From Cluster to Cloud: Overview of RDMA on Windows HPC Wenhao Wu Program Manager Windows HPC team Agenda Microsoft s Commitments to HPC RDMA for HPC Server RDMA for Storage in Windows 8 Microsoft

More information

A Very Brief History of High-Performance Computing

A Very Brief History of High-Performance Computing A Very Brief History of High-Performance Computing CPS343 Parallel and High Performance Computing Spring 2016 CPS343 (Parallel and HPC) A Very Brief History of High-Performance Computing Spring 2016 1

More information

Performance of the JMA NWP models on the PC cluster TSUBAME.

Performance of the JMA NWP models on the PC cluster TSUBAME. Performance of the JMA NWP models on the PC cluster TSUBAME. K.Takenouchi 1), S.Yokoi 1), T.Hara 1) *, T.Aoki 2), C.Muroi 1), K.Aranami 1), K.Iwamura 1), Y.Aikawa 1) 1) Japan Meteorological Agency (JMA)

More information

Pedraforca: ARM + GPU prototype

Pedraforca: ARM + GPU prototype www.bsc.es Pedraforca: ARM + GPU prototype Filippo Mantovani Workshop on exascale and PRACE prototypes Barcelona, 20 May 2014 Overview Goals: Test the performance, scalability, and energy efficiency of

More information

Kriterien für ein PetaFlop System

Kriterien für ein PetaFlop System Kriterien für ein PetaFlop System Rainer Keller, HLRS :: :: :: Context: Organizational HLRS is one of the three national supercomputing centers in Germany. The national supercomputing centers are working

More information

Supercomputing 2004 - Status und Trends (Conference Report) Peter Wegner

Supercomputing 2004 - Status und Trends (Conference Report) Peter Wegner (Conference Report) Peter Wegner SC2004 conference Top500 List BG/L Moors Law, problems of recent architectures Solutions Interconnects Software Lattice QCD machines DESY @SC2004 QCDOC Conclusions Technical

More information

Building Clusters for Gromacs and other HPC applications

Building Clusters for Gromacs and other HPC applications Building Clusters for Gromacs and other HPC applications Erik Lindahl lindahl@cbr.su.se CBR Outline: Clusters Clusters vs. small networks of machines Why do YOU need a cluster? Computer hardware Network

More information

Lecture 3: Evaluating Computer Architectures. Software & Hardware: The Virtuous Cycle?

Lecture 3: Evaluating Computer Architectures. Software & Hardware: The Virtuous Cycle? Lecture 3: Evaluating Computer Architectures Announcements - Reminder: Homework 1 due Thursday 2/2 Last Time technology back ground Computer elements Circuits and timing Virtuous cycle of the past and

More information

Last time. Data Center as a Computer. Today. Data Center Construction (and management)

Last time. Data Center as a Computer. Today. Data Center Construction (and management) Last time Data Center Construction (and management) Johan Tordsson Department of Computing Science 1. Common (Web) application architectures N-tier applications Load Balancers Application Servers Databases

More information

Performance Evaluation of Amazon EC2 for NASA HPC Applications!

Performance Evaluation of Amazon EC2 for NASA HPC Applications! National Aeronautics and Space Administration Performance Evaluation of Amazon EC2 for NASA HPC Applications! Piyush Mehrotra!! J. Djomehri, S. Heistand, R. Hood, H. Jin, A. Lazanoff,! S. Saini, R. Biswas!

More information

HP ProLiant SL270s Gen8 Server. Evaluation Report

HP ProLiant SL270s Gen8 Server. Evaluation Report HP ProLiant SL270s Gen8 Server Evaluation Report Thomas Schoenemeyer, Hussein Harake and Daniel Peter Swiss National Supercomputing Centre (CSCS), Lugano Institute of Geophysics, ETH Zürich schoenemeyer@cscs.ch

More information

1 Bull, 2011 Bull Extreme Computing

1 Bull, 2011 Bull Extreme Computing 1 Bull, 2011 Bull Extreme Computing Table of Contents HPC Overview. Cluster Overview. FLOPS. 2 Bull, 2011 Bull Extreme Computing HPC Overview Ares, Gerardo, HPC Team HPC concepts HPC: High Performance

More information

HPC Cloud. Focus on your research. Floris Sluiter Project leader SARA

HPC Cloud. Focus on your research. Floris Sluiter Project leader SARA HPC Cloud Focus on your research Floris Sluiter Project leader SARA Why an HPC Cloud? Christophe Blanchet, IDB - Infrastructure Distributing Biology: Big task to port them all to your favorite architecture

More information

Unit 4: Performance & Benchmarking. Performance Metrics. This Unit. CIS 501: Computer Architecture. Performance: Latency vs.

Unit 4: Performance & Benchmarking. Performance Metrics. This Unit. CIS 501: Computer Architecture. Performance: Latency vs. This Unit CIS 501: Computer Architecture Unit 4: Performance & Benchmarking Metrics Latency and throughput Speedup Averaging CPU Performance Performance Pitfalls Slides'developed'by'Milo'Mar0n'&'Amir'Roth'at'the'University'of'Pennsylvania'

More information

Cooling and thermal efficiently in

Cooling and thermal efficiently in Cooling and thermal efficiently in the datacentre George Brown HPC Systems Engineer Viglen Overview Viglen Overview Products and Technologies Looking forward Company Profile IT hardware manufacture, reseller

More information

Visit to the National University for Defense Technology Changsha, China. Jack Dongarra. University of Tennessee. Oak Ridge National Laboratory

Visit to the National University for Defense Technology Changsha, China. Jack Dongarra. University of Tennessee. Oak Ridge National Laboratory Visit to the National University for Defense Technology Changsha, China Jack Dongarra University of Tennessee Oak Ridge National Laboratory June 3, 2013 On May 28-29, 2013, I had the opportunity to attend

More information

Where is Ireland in the Global HPC Arena? and what are we doing there?

Where is Ireland in the Global HPC Arena? and what are we doing there? Where is Ireland in the Global HPC Arena? and what are we doing there? Dr. Brett Becker Irish Supercomputer List College of Computing Technology Dublin, Ireland Outline The Irish Supercomputer List Ireland

More information

benchmarking Amazon EC2 for high-performance scientific computing

benchmarking Amazon EC2 for high-performance scientific computing Edward Walker benchmarking Amazon EC2 for high-performance scientific computing Edward Walker is a Research Scientist with the Texas Advanced Computing Center at the University of Texas at Austin. He received

More information

ECLIPSE Best Practices Performance, Productivity, Efficiency. March 2009

ECLIPSE Best Practices Performance, Productivity, Efficiency. March 2009 ECLIPSE Best Practices Performance, Productivity, Efficiency March 29 ECLIPSE Performance, Productivity, Efficiency The following research was performed under the HPC Advisory Council activities HPC Advisory

More information

High Performance. CAEA elearning Series. Jonathan G. Dudley, Ph.D. 06/09/2015. 2015 CAE Associates

High Performance. CAEA elearning Series. Jonathan G. Dudley, Ph.D. 06/09/2015. 2015 CAE Associates High Performance Computing (HPC) CAEA elearning Series Jonathan G. Dudley, Ph.D. 06/09/2015 2015 CAE Associates Agenda Introduction HPC Background Why HPC SMP vs. DMP Licensing HPC Terminology Types of

More information

unlock your innovation with extreme computing CEA/Philippe Stroppa

unlock your innovation with extreme computing CEA/Philippe Stroppa unlock your innovation with extreme computing CEA/Philippe Stroppa Bull solutions for extreme computing A range of products and solutions to boost your power to innovate. From fundamental physics to medical

More information

SOSCIP Platforms. SOSCIP Platforms

SOSCIP Platforms. SOSCIP Platforms SOSCIP Platforms SOSCIP Platforms 1 SOSCIP HPC Platforms Blue Gene/Q Cloud Analytics Agile Large Memory System 2 SOSCIP Platforms Blue Gene/Q Platform 3 top500.org Rank Site System Cores Rmax (TFlop/s)

More information

Cluster performance, how to get the most out of Abel. Ole W. Saastad, Dr.Scient USIT / UAV / FI April 18 th 2013

Cluster performance, how to get the most out of Abel. Ole W. Saastad, Dr.Scient USIT / UAV / FI April 18 th 2013 Cluster performance, how to get the most out of Abel Ole W. Saastad, Dr.Scient USIT / UAV / FI April 18 th 2013 Introduction Architecture x86-64 and NVIDIA Compilers MPI Interconnect Storage Batch queue

More information

Energy Constrained Resource Scheduling for Cloud Environment

Energy Constrained Resource Scheduling for Cloud Environment Energy Constrained Resource Scheduling for Cloud Environment 1 R.Selvi, 2 S.Russia, 3 V.K.Anitha 1 2 nd Year M.E.(Software Engineering), 2 Assistant Professor Department of IT KSR Institute for Engineering

More information

Thematic Unit of Excellence on Computational Materials Science Solid State and Structural Chemistry Unit, Indian Institute of Science

Thematic Unit of Excellence on Computational Materials Science Solid State and Structural Chemistry Unit, Indian Institute of Science Thematic Unit of Excellence on Computational Materials Science Solid State and Structural Chemistry Unit, Indian Institute of Science Call for Expression of Interest (EOI) for the Supply, Installation

More information

Overview on Modern Accelerators and Programming Paradigms Ivan Giro7o igiro7o@ictp.it

Overview on Modern Accelerators and Programming Paradigms Ivan Giro7o igiro7o@ictp.it Overview on Modern Accelerators and Programming Paradigms Ivan Giro7o igiro7o@ictp.it Informa(on & Communica(on Technology Sec(on (ICTS) Interna(onal Centre for Theore(cal Physics (ICTP) Mul(ple Socket

More information

The Fusion of Supercomputing and Big Data. Peter Ungaro President & CEO

The Fusion of Supercomputing and Big Data. Peter Ungaro President & CEO The Fusion of Supercomputing and Big Data Peter Ungaro President & CEO The Supercomputing Company Supercomputing Big Data Because some great things never change One other thing that hasn t changed. Cray

More information

www.xenon.com.au STORAGE HIGH SPEED INTERCONNECTS HIGH PERFORMANCE COMPUTING VISUALISATION GPU COMPUTING

www.xenon.com.au STORAGE HIGH SPEED INTERCONNECTS HIGH PERFORMANCE COMPUTING VISUALISATION GPU COMPUTING www.xenon.com.au STORAGE HIGH SPEED INTERCONNECTS HIGH PERFORMANCE COMPUTING GPU COMPUTING VISUALISATION XENON Accelerating Exploration Mineral, oil and gas exploration is an expensive and challenging

More information

Infrastructure Matters: POWER8 vs. Xeon x86

Infrastructure Matters: POWER8 vs. Xeon x86 Advisory Infrastructure Matters: POWER8 vs. Xeon x86 Executive Summary This report compares IBM s new POWER8-based scale-out Power System to Intel E5 v2 x86- based scale-out systems. A follow-on report

More information

Review of SC13; Look Ahead to HPC in 2014. Addison Snell addison@intersect360.com

Review of SC13; Look Ahead to HPC in 2014. Addison Snell addison@intersect360.com Review of SC13; Look Ahead to HPC in 2014 Addison Snell addison@intersect360.com New at Intersect360 Research HPC500 user organization, www.hpc500.com Goal: 500 users worldwide, demographically representative

More information

Altix Usage and Application Programming. Welcome and Introduction

Altix Usage and Application Programming. Welcome and Introduction Zentrum für Informationsdienste und Hochleistungsrechnen Altix Usage and Application Programming Welcome and Introduction Zellescher Weg 12 Tel. +49 351-463 - 35450 Dresden, November 30th 2005 Wolfgang

More information

SURFsara HPC Cloud Workshop

SURFsara HPC Cloud Workshop SURFsara HPC Cloud Workshop www.cloud.sara.nl Tutorial 2014-06-11 UvA HPC and Big Data Course June 2014 Anatoli Danezi, Markus van Dijk cloud-support@surfsara.nl Agenda Introduction and Overview (current

More information

LS DYNA Performance Benchmarks and Profiling. January 2009

LS DYNA Performance Benchmarks and Profiling. January 2009 LS DYNA Performance Benchmarks and Profiling January 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox HPC Advisory Council Cluster Center The

More information

SAS Business Analytics. Base SAS for SAS 9.2

SAS Business Analytics. Base SAS for SAS 9.2 Performance & Scalability of SAS Business Analytics on an NEC Express5800/A1080a (Intel Xeon 7500 series-based Platform) using Red Hat Enterprise Linux 5 SAS Business Analytics Base SAS for SAS 9.2 Red

More information

第 十 三 回 PCクラスタシンポジウム. Cray クラスタ 製 品 のご 紹 介 クレイ ジャパン インク

第 十 三 回 PCクラスタシンポジウム. Cray クラスタ 製 品 のご 紹 介 クレイ ジャパン インク 第 十 三 回 PCクラスタシンポジウム Cray クラスタ 製 品 のご 紹 介 平 成 25 年 12 月 12,13 日 クレイ ジャパン インク CRAY The Supercomputer company Since Nov 2012 HPC Systems Storage & Data Management Cluster Solutions Leadership supercomputing

More information

How Cineca supports IT

How Cineca supports IT How Cineca supports IT Topics CINECA: an overview Systems and Services for Higher Education HPC for Research Activities and Industries Cineca: the Consortium Not For Profit Founded in 1969 HPC FERMI: TOP500

More information

Power Efficiency Metrics for the Top500. Shoaib Kamil and John Shalf CRD/NERSC Lawrence Berkeley National Lab

Power Efficiency Metrics for the Top500. Shoaib Kamil and John Shalf CRD/NERSC Lawrence Berkeley National Lab Power Efficiency Metrics for the Top500 Shoaib Kamil and John Shalf CRD/NERSC Lawrence Berkeley National Lab Power for Single Processors HPC Concurrency on the Rise Total # of Processors in Top15 350000

More information

High Performance Computing in the Multi-core Area

High Performance Computing in the Multi-core Area High Performance Computing in the Multi-core Area Arndt Bode Technische Universität München Technology Trends for Petascale Computing Architectures: Multicore Accelerators Special Purpose Reconfigurable

More information

HPC & Big Data THE TIME HAS COME FOR A SCALABLE FRAMEWORK

HPC & Big Data THE TIME HAS COME FOR A SCALABLE FRAMEWORK HPC & Big Data THE TIME HAS COME FOR A SCALABLE FRAMEWORK Barry Davis, General Manager, High Performance Fabrics Operation Data Center Group, Intel Corporation Legal Disclaimer Today s presentations contain

More information

Power Aware and Temperature Restraint Modeling for Maximizing Performance and Reliability Laxmikant Kale, Akhil Langer, and Osman Sarood

Power Aware and Temperature Restraint Modeling for Maximizing Performance and Reliability Laxmikant Kale, Akhil Langer, and Osman Sarood Power Aware and Temperature Restraint Modeling for Maximizing Performance and Reliability Laxmikant Kale, Akhil Langer, and Osman Sarood Parallel Programming Laboratory (PPL) University of Illinois Urbana

More information

Michael Kagan. michael@mellanox.com

Michael Kagan. michael@mellanox.com Virtualization in Data Center The Network Perspective Michael Kagan CTO, Mellanox Technologies michael@mellanox.com Outline Data Center Transition Servers S as a Service Network as a Service IO as a Service

More information

Graphics Cards and Graphics Processing Units. Ben Johnstone Russ Martin November 15, 2011

Graphics Cards and Graphics Processing Units. Ben Johnstone Russ Martin November 15, 2011 Graphics Cards and Graphics Processing Units Ben Johnstone Russ Martin November 15, 2011 Contents Graphics Processing Units (GPUs) Graphics Pipeline Architectures 8800-GTX200 Fermi Cayman Performance Analysis

More information

what operations can it perform? how does it perform them? on what kind of data? where are instructions and data stored?

what operations can it perform? how does it perform them? on what kind of data? where are instructions and data stored? Inside the CPU how does the CPU work? what operations can it perform? how does it perform them? on what kind of data? where are instructions and data stored? some short, boring programs to illustrate the

More information

Accelerating CFD using OpenFOAM with GPUs

Accelerating CFD using OpenFOAM with GPUs Accelerating CFD using OpenFOAM with GPUs Authors: Saeed Iqbal and Kevin Tubbs The OpenFOAM CFD Toolbox is a free, open source CFD software package produced by OpenCFD Ltd. Its user base represents a wide

More information

Sun Constellation System: The Open Petascale Computing Architecture

Sun Constellation System: The Open Petascale Computing Architecture CAS2K7 13 September, 2007 Sun Constellation System: The Open Petascale Computing Architecture John Fragalla Senior HPC Technical Specialist Global Systems Practice Sun Microsystems, Inc. 25 Years of Technical

More information

High Performance Computing. Course Notes 2007-2008. HPC Fundamentals

High Performance Computing. Course Notes 2007-2008. HPC Fundamentals High Performance Computing Course Notes 2007-2008 2008 HPC Fundamentals Introduction What is High Performance Computing (HPC)? Difficult to define - it s a moving target. Later 1980s, a supercomputer performs

More information

Host Power Management in VMware vsphere 5

Host Power Management in VMware vsphere 5 in VMware vsphere 5 Performance Study TECHNICAL WHITE PAPER Table of Contents Introduction.... 3 Power Management BIOS Settings.... 3 Host Power Management in ESXi 5.... 4 HPM Power Policy Options in ESXi

More information