High-Performance and High-Productivity. Thomas C. Schulthess
|
|
- Bartholomew Hall
- 8 years ago
- Views:
Transcription
1 High-Performance and High-Productivity Computing ( ) Platform Thomas C. Schulthess
2 Four elements of the Swiss N Initiative Swiss Platform for HP2C ( ): Simulation capabilities that make effective use of next generation supercomputers Establish in CSE programs at Swiss universities Hardware Phase I ( ): Upgrade Cray XT system at CSCS to maximum possible within current infrastructure Develop new building infrastructure by 2012: State of the art infrastructure that support a machine footprint that is about a factor 10 larger than today Hardware Phase II ( ): Goal for CSCS is to host systems with performance of 20-25% compared to largest leadership system in the world
3 The ecosystem in numbers Spring (planned) ORNL/LCF 200 XT5 cabinets 1.5 PFlop/s Leadership 20 PFlop/s Sequoia LLNL LCF3 ORNL LCF3 ANL Blue NCSA 5x 5x CSCS only 20 XT5 cabinets => TFlop/s (infrastructure limited) 300 TFlop/s Regional/national center 4 PFlop/s Will require new building infrastructure at CSCS 5x 5x EPFL: ~50 TFlop/s UZH: ~60 TFlop/s ETHZ: ~70 TFlop/s 60 TFlop/s Local/institutional supercomputer 800 TFlop/s Think about this now!
4 High-risk & high-impact projects of the ( New procurement Cray XT processors Upgrade Cray XT proc. Dual core upgrade Cray XT cores 2008 Upgrade Cray XT cores 2009 Hex-core upgrade cores Final upgrade Cray XT Procurement next generation supercomputer N initiative Begin construction of new building New building complete
5 Overarching goal of Prepare computational sciences to make effective use of next generation supercomputers Specific goal Emerge with several high-impact scientific applications that scale and run efficiently on leadership computing platforms in 2012/13 timeframe Build on, and multiply the early science applications experience on Jaguar at ORNL DCA++: simulate models of high-temperature superconductivity first sustained petaflop/s in production runs (Gordon Bell Prize 2008) WL-LSMS: simulate termodynamics properties in magnetic nanoparticles sustained petaflop/s in production runs (Gordon Bell Prize 2009)
6 Elements of the DCA++ project Start with a real and challenging scientific problem Simulations to understand high-temperature superconductivity Take the best methods known in the field Quantum cluster theory and quantum Monte Carlo (DCA/QMC) Understand their limitations on today s emerging hardware QMC kernels are memory bandwidth limited Algorithmic reengineering to better map method to hardware Introduced delayed updates ( Ed updates) into QMC algorithm, method is no longer limited by memory bandwidth Take aggressive view on rewriting codes don t hesitate to rewrite major portions or even starting from scratch DCA++ was a total re-write, more general, and extensible Pay close attention to new hardware developments GPGPU work started in 2007 and motivated mixed precision solvers
7 Learning from the Oak Ridge experience: Covering all aspect of the simulation system Simulations Models, s, & Implementation Map to Hardware System operation System design Distributing DCA++ team: the (first tasks in sustained Switzerland: petaflop/s) T. A. Maier P. R. Domain C. Kent projects T. C. Schulthess G. Alvarez M. S. Summers E. F. D Azevedo J. S. Meredith M. Eisenbach D. traditional E. Maxwell role J. M. Larkin J. Levesque at Swiss univers. Sci. comp. research CSCS & U. of Lugano CSCS s ( Centers) Systems research D-INFK & vendors Example based on ORNL s early science teams that run on the first petaflop/s systems Physics (chemistry,...) Application mathematics Computer Science Computer Center Hardware vendor
8 High-Performance and High-Productivity Computing (HP2C) Domain areas 12 projects each with 2-3 FTE/yr. ~10 FTE/yr. EPFL ETHZ USI U. Basel Supported by HP2C platform Other networks (e.g. SNF/NCCR) Technology Platform CSCS ~10 FTE/yr.
9 Organization Advisory Committee Tom Dunning (NCSA) Thomas Lippert (Jülich) Phil Colella (NERSC) David Keyes (KAUST/Columbia) Bill Dally (NVIDIA) HP2C steering committee President of USI: Martinoli Rector of the University of Zurich: Fischer Rector of the University of Geneva: Vassalli President of ETHZ: Eichler President of EPFL: Aebischer Project Leadership Director CSCS: Schulthess (PI) USI Inst. f. Science: Krause (co-pi) EPFL Scientific Computing: Quarteroni (co-pi) Project coordination USI research services: Lepori, Colferai CSCS: Michele De Lorenzi (website) Core group: Scientific Research Group CSCS Thomas Schulthess (Lead); Sadaf Alam (lead future systems) Will Swayer (lead application/libraries) Jean Favre (lead visualization) John Biddiscombe Mario Valle Ugo Varetto Adrian Tineo (Jerome Soumage) Inst. f. Computational Science USI Rolf Krause + group Illia Horenko + group Projects: 1.Gyrokinetic simulations of turbulence in fusion plasma Villard EPF Lausanne 2.Ab initio molecular dynamics (CP2K) Hutter, U. Zurich 3.Computational Cosmology Lake, U. Zurich 4.Selectome: Darwinian Evolution Robinson-Rechavi, U. Lausanne 5.Cardiovascular Systems Simulations Quarteroni, EPF Lausanne 6.Algorithms for Quantum Interacting Systems Giamarchi, U. Geneva 7.High-Resolution 3D-Seismic Imaging Olaf Schenk, U. Basel 8.3D Models of Stellar Explosion Matthias Liebendörfer, U. Basel 9. Large-scale electronic structure calculations (BigDFT) Gödecker, U. Basel
10 Tier 1 projects of the platform Advanced Gyrokinetic Numerical Simulations of Turbulence in Fusion Plasmas Laurent Villard, EPF Lausanne New Frontiers in ab initio Molecular Dynamics Jürg Hutter (CP2K), Univ. of Zurich Computational Cosmology on the Petascale Geoge Lake, Univ. of Zurich Selectome, looking for Darwinian evolution in the tree of life Marc Robinson-Rechavi, Univ. of Lausanne for Cardiovascular Systems Simulations Alfio Quarteroni, EPF Lausanne Modern Algorithms for Quantum Interacting Systems Thierry Giamarchi, Univ. of Geneva Large-Scale Parallel Nonlinear Optimization for High Resolution 3D- Seismic Imaging Olaf Schenk, Univ. of Basel Productive 3D Models of Stellar Explosions Matthias Liebendörfer, Univ. of Basel Large Scale Electronic Structure Calculations (BigDFT) Stefan Gödecker, Univ. of Basel
11 Crosscutting thrust areas Visualization and data analysis for in-situ visualization and data analysis / revisit workflows Jean Favre, John Biddiscombe, (Jerome Soumage) initial focus on individual projects, but develop coherent strategy Performance analysis of (current) implementations routine job at CSCS, Cray Center of Excellence, IBM ZRL will help us establish metrics Algorithmic motifs / Phil Colella s dwarfs common algorithms but incompatible implementations establish/understand hierarchy of dwarfs common implementations at least a lower levels opportunity to add several additional students / postdocs at USI-ICS Will Sawyer + new hires@cscs with connections to Dongarra et al. Prototypes of future systems and programing environments Two areas we need to observe/engage: BG/Q & Hybrid Multi-Core PGAS languages (CAF, UPC, C++ solution under development) Programming environments for next generation node architectures
12 High-Performance and High-Productivity Computing (HP2C) Domain areas 12 projects each with 2-3 FTE/yr. ~10 FTE/yr. EPFL ETHZ USI U. Basel Supported by HP2C platform Technology Platform CSCS ~10 FTE/yr.
13 Computer systems - research and national supercomputer service User Projects Projects Prototype systems Advanced development systems National supercomputing production systems
14 QUESTIONS / COMMENTS?
Das Unsichtbare sichtbar machen wenn Supercomputer Prozesse simulieren. Thomas C. Schulthess
Das Unsichtbare sichtbar machen wenn Supercomputer Prozesse simulieren Thomas C. Schulthess Optimized winglets reduce environmental impact of aircraft Computational simulation of vortex formation in wake
More informationJeff Wolf Deputy Director HPC Innovation Center
Public Presentation for Blue Gene Consortium Nov. 19, 2013 www.hpcinnovationcenter.com Jeff Wolf Deputy Director HPC Innovation Center This work was performed under the auspices of the U.S. Department
More informationElements of Scalable Data Analysis and Visualization
Elements of Scalable Data Analysis and Visualization www.ultravis.org DOE CGF Petascale Computing Session Tom Peterka tpeterka@mcs.anl.gov Mathematics and Computer Science Division 0. Preface - Science
More informationBarry 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 informationCOMP/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 informationData Centric Systems (DCS)
Data Centric Systems (DCS) Architecture and Solutions for High Performance Computing, Big Data and High Performance Analytics High Performance Computing with Data Centric Systems 1 Data Centric Systems
More informationParallel 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 informationParallel Analysis and Visualization on Cray Compute Node Linux
Parallel Analysis and Visualization on Cray Compute Node Linux David Pugmire, Oak Ridge National Laboratory and Hank Childs, Lawrence Livermore National Laboratory and Sean Ahern, Oak Ridge National Laboratory
More informationALPS - The Swiss Grand Challenge Programme on the Cray XT3. CUG 2007, Seattle Dominik Ulmer, CSCS
ALPS - The Swiss Grand Challenge Programme on the Cray XT3 CUG 2007, Seattle Dominik Ulmer, CSCS CSCS today Swiss National Supercomputing Centre, founded in 1991 as part of ETHZ. Since 2004, an autonomous
More informationHow To Compare Amazon Ec2 To A Supercomputer For Scientific Applications
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 informationTrends 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 informationCosmological simulations on High Performance Computers
Cosmological simulations on High Performance Computers Cosmic Web Morphology and Topology Cosmological workshop meeting Warsaw, 12-17 July 2011 Maciej Cytowski Interdisciplinary Centre for Mathematical
More informationGetting the Performance Out Of High Performance Computing. Getting the Performance Out Of High Performance Computing
Getting the Performance Out Of High Performance Computing Jack Dongarra Innovative Computing Lab University of Tennessee and Computer Science and Math Division Oak Ridge National Lab http://www.cs.utk.edu/~dongarra/
More informationNA-ASC-128R-14-VOL.2-PN
L L N L - X X X X - X X X X X Advanced Simulation and Computing FY15 19 Program Notebook for Advanced Technology Development & Mitigation, Computational Systems and Software Environment and Facility Operations
More informationUndergraduates at the University of Tennessee Do Their Homework on a Supercomputer
Undergraduates from the University of Tennessee spend a few milliseconds with the machine that performs their homework. Photograph by Jayson Hines, Oak Ridge National Laboratory. Undergraduates at the
More informationSummit and Sierra Supercomputers:
Whitepaper Summit and Sierra Supercomputers: An Inside Look at the U.S. Department of Energy s New Pre-Exascale Systems November 2014 1 Contents New Flagship Supercomputers in U.S. to Pave Path to Exascale
More informationStreamline Integration using MPI-Hybrid Parallelism on a Large Multi-Core Architecture
Streamline Integration using MPI-Hybrid Parallelism on a Large Multi-Core Architecture David Camp (LBL, UC Davis), Hank Childs (LBL, UC Davis), Christoph Garth (UC Davis), Dave Pugmire (ORNL), & Kenneth
More informationCosmological Simulations on Large, Heterogeneous Supercomputers
Cosmological Simulations on Large, Heterogeneous Supercomputers Adrian Pope (LANL) Cosmology on the Beach January 10, 2011 Slide 1 People LANL: Jim Ahrens, Lee Ankeny, Suman Bhattacharya, David Daniel,
More informationMission Need Statement for the Next Generation High Performance Production Computing System Project (NERSC-8)
Mission Need Statement for the Next Generation High Performance Production Computing System Project () (Non-major acquisition project) Office of Advanced Scientific Computing Research Office of Science
More informationHPC enabling of OpenFOAM R for CFD applications
HPC enabling of OpenFOAM R for CFD applications Towards the exascale: OpenFOAM perspective Ivan Spisso 25-27 March 2015, Casalecchio di Reno, BOLOGNA. SuperComputing Applications and Innovation Department,
More informationLinux 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 informationHP 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 informationKriterien 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 informationSciDAC Petascale Data Storage Institute
SciDAC Petascale Data Storage Institute Advanced Scientific Computing Advisory Committee Meeting October 29 2008, Gaithersburg MD Garth Gibson Carnegie Mellon University and Panasas Inc. SciDAC Petascale
More informationData Deduplication in a Hybrid Architecture for Improving Write Performance
Data Deduplication in a Hybrid Architecture for Improving Write Performance Data-intensive Salable Computing Laboratory Department of Computer Science Texas Tech University Lubbock, Texas June 10th, 2013
More informationHPC-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 informationGPU 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 informationVisualization and Data Analysis
Working Group Outbrief Visualization and Data Analysis James Ahrens, David Rogers, Becky Springmeyer Eric Brugger, Cyrus Harrison, Laura Monroe, Dino Pavlakos Scott Klasky, Kwan-Liu Ma, Hank Childs LLNL-PRES-481881
More informationBuilding 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 informationSystems, Storage and Software in the National Supercomputing Service. CSCS User Assembly, Luzern, 26 th March 2010 Neil Stringfellow
Systems, Storage and Software in the National Supercomputing Service CSCS User Assembly, Luzern, 26 th March 2010 Neil Stringfellow Cray XT5 Monte Rosa 22,168 processors 1844 twelve-way nodes 2 AMD 2.4
More informationGPU 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 informationHigh Performance Computing Infrastructure in JAPAN
High Performance Computing Infrastructure in JAPAN Yutaka Ishikawa Director of Information Technology Center Professor of Computer Science Department University of Tokyo Leader of System Software Research
More informationBuilding 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 informationPerformance, Reliability, and Operational Issues for High Performance NAS Storage on Cray Platforms. Cray User Group Meeting June 2007
Performance, Reliability, and Operational Issues for High Performance NAS Storage on Cray Platforms Cray User Group Meeting June 2007 Cray s Storage Strategy Background Broad range of HPC requirements
More informationINCITE Overview Lattice QCD Computational Science Workshop April 30, 2013. Julia C. White, INCITE Manager
INCITE Overview Lattice QCD Computational Science Workshop April 30, 2013 Julia C. White, INCITE Manager Origin of Leadership Computing Facility Department of Energy High-End Computing Revitalization Act
More informationCluster Computing and Network Marketing Systems
Interdisciplinary Cluster Computing at a Liberal Arts College David Schaich 1*, Scott Kaplan 2, William Loinaz 1 and James Hagadorn 3 1Department of Physics, Amherst College, Amherst, MA 01002 2Department
More informationCray Gemini Interconnect. Technical University of Munich Parallel Programming Class of SS14 Denys Sobchyshak
Cray Gemini Interconnect Technical University of Munich Parallel Programming Class of SS14 Denys Sobchyshak Outline 1. Introduction 2. Overview 3. Architecture 4. Gemini Blocks 5. FMA & BTA 6. Fault tolerance
More informationPerformance Monitoring on NERSC s POWER 5 System
ScicomP 14 Poughkeepsie, N.Y. Performance Monitoring on NERSC s POWER 5 System Richard Gerber NERSC User Services RAGerber@lbl.gov Prequel Although this talk centers around identifying system problems,
More informationMitglied der Helmholtz-Gemeinschaft. System monitoring with LLview and the Parallel Tools Platform
Mitglied der Helmholtz-Gemeinschaft System monitoring with LLview and the Parallel Tools Platform November 25, 2014 Carsten Karbach Content 1 LLview 2 Parallel Tools Platform (PTP) 3 Latest features 4
More informationStatistical and Numerical Methods for Chemical Engineers, Lecturer for Numerical Methods part, ETH, Zürich.
Dr. Roger Käppeli Eidgenössische Technische Hochschule Zürich Seminar für Angewandte Mathematik Rämistrasse 101 CH-8052 Zürich +41 (0)44 632 8495 roger.kaeppeli@sam.math.ethz.ch phys-merger.physik.unibas.ch/~roger/
More informationIn situ data analysis and I/O acceleration of FLASH astrophysics simulation on leadership-class system using GLEAN
In situ data analysis and I/O acceleration of FLASH astrophysics simulation on leadership-class system using GLEAN Venkatram Vishwanath 1, Mark Hereld 1, Michael E. Papka 1, Randy Hudson 2, G. Cal Jordan
More informationSecretary of Energy Advisory Board
Secretary of Energy Advisory Board Follow Up Response from the Task Force on High Performance Computing November 30, 2014 On August 18, 2014, the Secretary of Energy Advisory Board approved the report
More informationInfiniBand 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 informationWelcome 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 19 13:00-13:30 Welcome
More informationASCAC Facilities Statement
ASCAC Facilities Statement March 21, 2013 Introduction This is ASCAC s response to the charge of December 20, 2012 to review and advise the Office of Science with respect to ASCR s plans for new and upgraded
More informationIntroduction 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 informationJean-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 informationPerformance analysis of parallel applications on modern multithreaded processor architectures
Available online at www.prace-ri.eu Partnership for Advanced Computing in Europe Performance analysis of parallel applications on modern multithreaded processor architectures Maciej Cytowski* a, Maciej
More informationThe Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): A Vision for Large-Scale Climate Data
The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): A Vision for Large-Scale Climate Data Lawrence Livermore National Laboratory? Hank Childs (LBNL) and Charles Doutriaux (LLNL) September
More informationHETEROGENEOUS 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 informationUnleashing the Performance Potential of GPUs for Atmospheric Dynamic Solvers
Unleashing the Performance Potential of GPUs for Atmospheric Dynamic Solvers Haohuan Fu haohuan@tsinghua.edu.cn High Performance Geo-Computing (HPGC) Group Center for Earth System Science Tsinghua University
More informationHow 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 informationOn-Demand Supercomputing Multiplies the Possibilities
Microsoft Windows Compute Cluster Server 2003 Partner Solution Brief Image courtesy of Wolfram Research, Inc. On-Demand Supercomputing Multiplies the Possibilities Microsoft Windows Compute Cluster Server
More informationCray s Storage History and Outlook Lustre+ Jason Goodman, Cray LUG 2015 - Denver
Cray s Storage History and Outlook Lustre+ Jason Goodman, Cray - Denver Agenda Cray History from Supercomputers to Lustre Where we are Today Cray Business OpenSFS Flashback to the Future SSDs, DVS, and
More informationParallel Software usage on UK National HPC Facilities 2009-2015: How well have applications kept up with increasingly parallel hardware?
Parallel Software usage on UK National HPC Facilities 2009-2015: How well have applications kept up with increasingly parallel hardware? Dr Andrew Turner EPCC University of Edinburgh Edinburgh, UK a.turner@epcc.ed.ac.uk
More informationBSC - 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 informationScience Drivers, Current HPC Software Development, and Platform Deployment Plans for the USA
Science Drivers, Current HPC Software Development, and Platform Deployment Plans for the USA Horst Simon Lawrence Berkeley National Laboratory and UC Berkeley DEISA-PRACE Symposium, Amsterdam. Netherlands
More informationPRACE hardware, software and services. David Henty, EPCC, d.henty@epcc.ed.ac.uk
PRACE hardware, software and services David Henty, EPCC, d.henty@epcc.ed.ac.uk Why? Weather, Climatology, Earth Science degree of warming, scenarios for our future climate. understand and predict ocean
More informationMulti-core Curriculum Development at Georgia Tech: Experience and Future Steps
Multi-core Curriculum Development at Georgia Tech: Experience and Future Steps Ada Gavrilovska, Hsien-Hsin-Lee, Karsten Schwan, Sudha Yalamanchili, Matt Wolf CERCS Georgia Institute of Technology Background
More informationPanasas 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 informationAppro 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 informationError Characterization of Petascale Machines: A study of the error logs from Blue Waters Anno Accademico 2012-2013
tesi di laurea magistrale Error Characterization of Petascale Machines: Anno Accademico 2012-2013 Advisor Prof. Domenico Cotroneo Co-Advisor Prof. Ravishankar K. Iyer Dr. Catello di Martino Prof. Zbigniew
More informationEvoluzione 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 informationBulk Synchronous Programmers and Design
Linux Kernel Co-Scheduling For Bulk Synchronous Parallel Applications ROSS 2011 Tucson, AZ Terry Jones Oak Ridge National Laboratory 1 Managed by UT-Battelle Outline Motivation Approach & Research Design
More informationScientific Computing Programming with Parallel Objects
Scientific Computing Programming with Parallel Objects Esteban Meneses, PhD School of Computing, Costa Rica Institute of Technology Parallel Architectures Galore Personal Computing Embedded Computing Moore
More informationHPC and Big Data. EPCC The University of Edinburgh. Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk
HPC and Big Data EPCC The University of Edinburgh Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk EPCC Facilities Technology Transfer European Projects HPC Research Visitor Programmes Training
More informationLarge Vector-Field Visualization, Theory and Practice: Large Data and Parallel Visualization Hank Childs + D. Pugmire, D. Camp, C. Garth, G.
Large Vector-Field Visualization, Theory and Practice: Large Data and Parallel Visualization Hank Childs + D. Pugmire, D. Camp, C. Garth, G. Weber, S. Ahern, & K. Joy Lawrence Berkeley National Laboratory
More informationBig Data Challenges In Leadership Computing
Big Data Challenges In Leadership Computing Presented to: Data Direct Network s SC 2011 Technical Lunch November 14, 2011 Galen Shipman Technology Integration Group Leader Office of Science Computing at
More informationRelations with ISV and Open Source. Stephane Requena GENCI Stephane.requena@genci.fr
Relations with ISV and Open Source Stephane Requena GENCI Stephane.requena@genci.fr Agenda of this session 09:15 09:30 Prof. Hrvoje Jasak: Director, Wikki Ltd. «HPC Deployment of OpenFOAM in an Industrial
More informationData Analytics at NERSC. Joaquin Correa JoaquinCorrea@lbl.gov NERSC Data and Analytics Services
Data Analytics at NERSC Joaquin Correa JoaquinCorrea@lbl.gov NERSC Data and Analytics Services NERSC User Meeting August, 2015 Data analytics at NERSC Science Applications Climate, Cosmology, Kbase, Materials,
More informationThe CNMS Computer Cluster
The CNMS Computer Cluster This page describes the CNMS Computational Cluster, how to access it, and how to use it. Introduction (2014) The latest block of the CNMS Cluster (2010) Previous blocks of the
More informationDr. Raju Namburu Computational Sciences Campaign U.S. Army Research Laboratory. The Nation s Premier Laboratory for Land Forces UNCLASSIFIED
Dr. Raju Namburu Computational Sciences Campaign U.S. Army Research Laboratory 21 st Century Research Continuum Theory Theory embodied in computation Hypotheses tested through experiment SCIENTIFIC METHODS
More informationPerformance Improvement of Application on the K computer
Performance Improvement of Application on the K computer November 13, 2011 Kazuo Minami Team Leader, Application Development Team Research and Development Group Next-Generation Supercomputer R & D Center
More informationParallel Visualization of Petascale Simulation Results from GROMACS, NAMD and CP2K on IBM Blue Gene/P using VisIt Visualization Toolkit
Available online at www.prace-ri.eu Partnership for Advanced Computing in Europe Parallel Visualization of Petascale Simulation Results from GROMACS, NAMD and CP2K on IBM Blue Gene/P using VisIt Visualization
More informationAchieving Performance Isolation with Lightweight Co-Kernels
Achieving Performance Isolation with Lightweight Co-Kernels Jiannan Ouyang, Brian Kocoloski, John Lange The Prognostic Lab @ University of Pittsburgh Kevin Pedretti Sandia National Laboratories HPDC 2015
More informationHigh Performance Computing
High Parallel Computing Hybrid Program Coding Heterogeneous Program Coding Heterogeneous Parallel Coding Hybrid Parallel Coding High Performance Computing Highly Proficient Coding Highly Parallelized Code
More informationDistributed communication-aware load balancing with TreeMatch in Charm++
Distributed communication-aware load balancing with TreeMatch in Charm++ The 9th Scheduling for Large Scale Systems Workshop, Lyon, France Emmanuel Jeannot Guillaume Mercier Francois Tessier In collaboration
More informationSoftware Development Tools for Petascale Computing
Workshop on Software Development Tools for Petascale Computing http://www.csm.ornl.gov/workshops/petascale07/ 1-2 August 2007 Washington, DC Organizing Committee: Fred Johnson, DOE Office of Science Thuc
More informationNew Storage System Solutions
New Storage System Solutions Craig Prescott Research Computing May 2, 2013 Outline } Existing storage systems } Requirements and Solutions } Lustre } /scratch/lfs } Questions? Existing Storage Systems
More informationAgenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC
HPC Architecture End to End Alexandre Chauvin Agenda HPC Software Stack Visualization National Scientific Center 2 Agenda HPC Software Stack Alexandre Chauvin Typical HPC Software Stack Externes LAN Typical
More informationGPUs for Scientific Computing
GPUs for Scientific Computing p. 1/16 GPUs for Scientific Computing Mike Giles mike.giles@maths.ox.ac.uk Oxford-Man Institute of Quantitative Finance Oxford University Mathematical Institute Oxford e-research
More informationPetascale Visualization: Approaches and Initial Results
Petascale Visualization: Approaches and Initial Results James Ahrens Li-Ta Lo, Boonthanome Nouanesengsy, John Patchett, Allen McPherson Los Alamos National Laboratory LA-UR- 08-07337 Operated by Los Alamos
More informationSimulation Platform Overview
Simulation Platform Overview Build, compute, and analyze simulations on demand www.rescale.com CASE STUDIES Companies in the aerospace and automotive industries use Rescale to run faster simulations Aerospace
More informationA 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 informationPRACE the European HPC Research Infrastructure. Carlos Mérida-Campos, Advisor of Spanish Member at PRACE Council
PRACE the European HPC Research Infrastructure Carlos Mérida-Campos, Advisor of Spanish Member at PRACE Council Barcelona, 6-June-2013 PRACE an European e-infrastructure & ESFRI-list item in operation
More informationKeeneland Enabling Heterogeneous Computing for the Open Science Community Philip C. Roth Oak Ridge National Laboratory
Keeneland Enabling Heterogeneous Computing for the Open Science Community Philip C. Roth Oak Ridge National Laboratory with contributions from the Keeneland project team and partners 2 NSF Office of Cyber
More informationCS 698: Special Topics in Big Data. Chapter 2. Computing Trends for Big Data
CS 698: Special Topics in Big Data Chapter 2. Computing Trends for Big Data Chase Wu Associate Professor Department of Computer Science New Jersey Institute of Technology chase.wu@njit.edu Collaborative
More informationOverview 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 informationIntroduction to Cluster Computing
Introduction to Cluster Computing Brian Vinter vinter@diku.dk Overview Introduction Goal/Idea Phases Mandatory Assignments Tools Timeline/Exam General info Introduction Supercomputers are expensive Workstations
More informationBenchmarking for High Performance Systems and Applications. Erich Strohmaier NERSC/LBNL Estrohmaier@lbl.gov
Benchmarking for High Performance Systems and Applications Erich Strohmaier NERSC/LBNL Estrohmaier@lbl.gov HPC Reference Benchmarks To evaluate performance we need a frame of reference in the performance
More informationChallenges in e-science: Research in a Digital World
Challenges in e-science: Research in a Digital World Thom Dunning National Center for Supercomputing Applications National Center for Supercomputing Applications University of Illinois at Urbana-Champaign
More informationPerformance of HPC Applications on the Amazon Web Services Cloud
Cloudcom 2010 November 1, 2010 Indianapolis, IN Performance of HPC Applications on the Amazon Web Services Cloud Keith R. Jackson, Lavanya Ramakrishnan, Krishna Muriki, Shane Canon, Shreyas Cholia, Harvey
More informationNVIDIA Tesla K20-K20X GPU Accelerators Benchmarks Application Performance Technical Brief
NVIDIA Tesla K20-K20X GPU Accelerators Benchmarks Application Performance Technical Brief NVIDIA changed the high performance computing (HPC) landscape by introducing its Fermibased GPUs that delivered
More informationHPC & Visualization. Visualization and High-Performance Computing
HPC & Visualization Visualization and High-Performance Computing Visualization is a critical step in gaining in-depth insight into research problems, empowering understanding that is not possible with
More informationNew Jersey Big Data Alliance
Rutgers Discovery Informatics Institute (RDI 2 ) New Jersey s Center for Advanced Computation New Jersey Big Data Alliance Manish Parashar Director, Rutgers Discovery Informatics Institute (RDI 2 ) Professor,
More informationEXPLORATIONS Teaching, Design, Research
STUDIO DESCRIPTION Research Studio Team Institution Website Atelier de la conception de l espace Professor Dieter Dietz Olivier Ottevaere, Isabella Pasqualini, Daniel Pokora, Katia Ritz, Marc Schmit, Eveline
More informationExascale Computing Project (ECP) Update
Exascale Computing Project (ECP) Update Presented to ASCAC Paul Messina Project Director Stephen Lee Deputy Director Washington, D.C. April 4, 2016 ECP is in the process of making the transition from an
More informationDimensioning Data Centre Resiliency
Dimensioning Data Centre Resiliency HPC Advisory Council Switzerland Conference 2015 Sadaf Alam, CSCS March 23, 2015 Extended Welcome New and returning attendees, presenters & sponsors Interconnects for
More informationInterconnect 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 informationHPC Wales Skills Academy Course Catalogue 2015
HPC Wales Skills Academy Course Catalogue 2015 Overview The HPC Wales Skills Academy provides a variety of courses and workshops aimed at building skills in High Performance Computing (HPC). Our courses
More information