SA2 REPORT. First report from Activity SA2 (M8): Provide a suitable Software environment for users

Size: px
Start display at page:

Download "SA2 REPORT. First report from Activity SA2 (M8): Provide a suitable Software environment for users"

Transcription

1 Subject: First report from Activity SA2 (M8): Provide a suitable Software environment for users Author(s): Alejandro Soba Distribution: Public Introduction The main target of Service Activities 2 (SA2, High Performance Computing (HPC) Infrastructure deployment) is to secure and support access for the code developers and code owners within JRA2 to the facilities, massively parallel supercomputers (MPSCs), and customer services at a set of such supercomputer centres (that is, in Helsinki, in Barcelona, and (UEDIN) in Edinburgh). The code developers within JRA2 are focussed on optimizing codes from within the plasma fusion community that need MPSCs to run efficiently. In order for the optimization work to function properly the code developers must have access to suitable computers for testing, debugging, and running. All the three centres listed above (, and ) can provide suitable computers, programming environment and expertise for JRA2 code developers. SA2 is focused on taking advantage of the existing service activity at the computer centres. The code developers of JRA2 are divided in to three groups each associated with one of the computer centres. This arrangement allows the code developers to use all the hardware, software and expertise services provided by the computer centres [7]. SA2 uses the expertise within the JRA2 partners, as well as the associated hardware, to provide access to HPC or MPSC resources for fusion code owners and developers. Fundamentally, SA2 should enable code owners to perform large scale simulation runs to investigate and produce world leading fusion science. The final list of codes available to install and optimize in the EUFORIA project is summarized in table I. In this table a first view characterization of the codes has been made in order to allow planning and coordination between the three centres in JRA2/SA2. Besides that, there is information about the languages, parallelization mode and a first projection of the necessary effort required for each code. Finally the centres responsible for the codes are listed in the last column. FP REPORT 1/6

2 Code BIT1 CENTORI EIRENE ELMFIRE ERO ESEL Table I: Main Characterization of the codes available for EUFORIA project Optim ization Needs parallelizatio n (plan for parallelizatio n exists) No, runs on >1024 No, code is already fully parallelized No, runs on 256 No? Runs on 32*10 (Vector?) ( version exist, MPI version is under development ). Shares code base with TYR. Gridparallel version needed No of lines/ subroutin es / / / / Language Estimated effort needed Assigned to C Low 95 Low 90 / C C / C / 77/90 Medium Low Medium Medium GEM No 4000 / 20 Low GENE No, scales well to / 105 Low ISDEP No No 1000 / 4 C Low SOLPS TYR Abo, parallelizatio n plans were looked at and rejected No, scales up to 32. Also. Shares code base with ESEL / / 150 High C Medium FP REPORT 2/6

3 HPC Resources: Programming environment HPC Resources: Programming Environment This activity will provide access to the programming environment for the code developers of JRA2 and the fusion code owners at the computer centres. The programming environment includes e.g. licence to use compilers, debuggers and, if available, software profiling tools. The aim will be to ensure that EUFORIA users have the appropriate tools to utilise these HPC resources. Access to run time on the three centres is provided, free of charge, to such an extent that can be motivated for testing of the optimized codes [7]. In table II an extensive list of compilers, the parallel environments, the libraries installed and the batch systems of each HPC centre are summarized. (The respective web pages of each centre and users guide of each supercomputer are referred in order to see a more extensive explanation of each topic). All the centres have an extensive expertise, user s guide, examples of use of batch system, compilers, parallel environments, etc. to provide the necessary support to any users. Table II: Description of the available HPC resources Centres Resources Hardware Resources Software Cray Supercomputer: Cray XT4 (2024 cores, performance 10,5 Tflops). This system is known as Louhi. [1,5] HP XC-Super cluster, 2048 cores, peak performance 10.6 Tflops. [1] Compilers Portland Group (PGI) GNU PathScale Parallel environments MPI Cray SHMEM library Cray Supercomputer: 60 Cray XT4 cabinets (11,323 cores, 33.2Tb of memory, expected peak performance of 59Tflops). This system is known as HECToR [2,6] Libraries ACML LibSci FFTW PETSc Batch System Portable Batch System Professional (PBS Pro). HECToR compilers PGI, PathScale and GNU HECToR Parallel enviroments MPI HECToR Libreries Cray provides libraries XT-LibSci Linear algebra: BLAS and LAPACK BLACS FP REPORT 3/6

4 IBM BladeCenter JS21 Cluster, PPC 2.3 GHz. Peak performance 94 Tflops, 20 TB of memory. [3,4] ScaLAPACK SuperLU Iterative Refinement Toolkit AMD Core Math Library - ACML Cray FFT interface Random Number Generators PGI issue FFTW PETSc NAG Library, Mark 21 NAG SMP Library, Mark 21 NAG Parallel Library 3 HECToR Batch PBS pro to schedule batch jobs Compilers IBM XL GNU Compilers Parallel environments MPI Libreries ATLAS with ALTIVEC BLACS BLAS BOOST ESSL/PESSL CFITSIO FFTW GLPK GNU-GSL GOTO Optimized for PPC970 HDF4 HDF5 IOAPI LAPACK LP_SOLVE MASS NCARG NETCDF SBML SCALAPACK Batch Slurm+MOAB The first step into the JRA2 work package was the installation/compilation of the codes into the supercomputers, and the realization of an extensive profiling of them. This first step was completely finishing in June of 2008 and the requirements of each code in reference to compilers, libraries, debuggers and profiling were captured at each centre. Table III summarized the minimal list of Libraries needed for each code to run with its best performance. All the required libraries are available in the respective HPC centres, with the exception of some of the machine specific libraries (such as ESSL and PESSL which are only available on IBM machines) where alternative libraries are available. FP REPORT 4/6

5 Table III: Libraries needed for all the codes of EUFORIA project Codes HPC centre Libraries needed CENTORI --- GEM FFTW ERO IBM ESSL and PMAPI EIRENE --- ELMFIRE GSL, BLAS, PETSC, PESSL GENE ESSL, MKL or FFTW BLAS/LAPACK PETSC/SLEPC BIT1 X11 Esel HDF4(version 4.2r2) Tyr HDF4(version 4.2r2) FFTW 3.1(version 3.1.2) Isdep --- SOLPS NCARG (version 5.0.0) NetCDF (version 3.6.2) ACML (version 4-0-1) (or some other BLAS/LAPACK library) X11 Conclusion At the moment, the final eleven codes in EUFORIA were installed / compiled and performed and all the requirements of Libraries, compilers, and debugging - profiling tools are available in the respective HPC centres. Each centre has all the necessary resources to provide services to users or developers in order to realize testing, debugging, and running of those codes. The requirement within JRA2 of HPC resources are completely satisfied in each centre and the collaboration and communication between the project partners involved in the project facilitates the interchange of information, supports and knowledge in order to provide adequate answer to any needs. Apart of that and based on the software requirements needs for fusion as detailed within the ITM-TF software inventory report, the EUFORIA HPC infrastructure should cover a broader range of modelling needs than the current scope of edge and core turbulence and transport. The state of each centre, in relation to software resources and behaviour of the codes, ensures the infrastructure needed to start on time the next step of optimization within JRA2 and ensure the run time access to supercomputers within SA2. FP REPORT 5/6

6 References [1] [2] [3] [4] MareNostrum User's Guide Barcelona Supercomputing Center CNS [5] Louhi User's Guide, the 2nd Edition Release 2.0, Feb 2008 [6] User Guide to the HECToR Service (Version 0.1) [7] Grant agreement for: Combination of Collaborative projects & Coordination and support actions. Annex I - Description of Work (2007) FP REPORT 6/6

EUFORIA: Grid and High Performance Computing at the Service of Fusion Modelling

EUFORIA: Grid and High Performance Computing at the Service of Fusion Modelling EUFORIA: Grid and High Performance Computing at the Service of Fusion Modelling Miguel Cárdenas-Montes on behalf of Euforia collaboration Ibergrid 2008 May 12 th 2008 Porto Outline Project Objectives Members

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

The Top Six Advantages of CUDA-Ready Clusters. Ian Lumb Bright Evangelist

The Top Six Advantages of CUDA-Ready Clusters. Ian Lumb Bright Evangelist The Top Six Advantages of CUDA-Ready Clusters Ian Lumb Bright Evangelist GTC Express Webinar January 21, 2015 We scientists are time-constrained, said Dr. Yamanaka. Our priority is our research, not managing

More information

Mathematical Libraries on JUQUEEN. JSC Training Course

Mathematical Libraries on JUQUEEN. JSC Training Course Mitglied der Helmholtz-Gemeinschaft Mathematical Libraries on JUQUEEN JSC Training Course May 10, 2012 Outline General Informations Sequential Libraries, planned Parallel Libraries and Application Systems:

More information

Service Partition Specialized Linux nodes. Compute PE Login PE Network PE System PE I/O PE

Service Partition Specialized Linux nodes. Compute PE Login PE Network PE System PE I/O PE 2 Service Partition Specialized Linux nodes Compute PE Login PE Network PE System PE I/O PE Microkernel on Compute PEs, full featured Linux on Service PEs. Service PEs specialize by function Software Architecture

More information

Agenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC

Agenda. 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 information

Mathematical Libraries and Application Software on JUROPA and JUQUEEN

Mathematical Libraries and Application Software on JUROPA and JUQUEEN Mitglied der Helmholtz-Gemeinschaft Mathematical Libraries and Application Software on JUROPA and JUQUEEN JSC Training Course May 2014 I.Gutheil Outline General Informations Sequential Libraries Parallel

More information

Introduction to ACENET Accelerating Discovery with Computational Research May, 2015

Introduction to ACENET Accelerating Discovery with Computational Research May, 2015 Introduction to ACENET Accelerating Discovery with Computational Research May, 2015 What is ACENET? What is ACENET? Shared regional resource for... high-performance computing (HPC) remote collaboration

More information

Cray XT System Overview S 2423 22

Cray XT System Overview S 2423 22 TM Cray XT System Overview S 2423 22 2004 2009 Cray Inc. All Rights Reserved. This document or parts thereof may not be reproduced in any form unless permitted by contract or by written permission of Cray

More information

Overview of HPC systems and software available within

Overview of HPC systems and software available within Overview of HPC systems and software available within Overview Available HPC Systems Ba Cy-Tera Available Visualization Facilities Software Environments HPC System at Bibliotheca Alexandrina SUN cluster

More information

The Assessment of Benchmarks Executed on Bare-Metal and Using Para-Virtualisation

The Assessment of Benchmarks Executed on Bare-Metal and Using Para-Virtualisation The Assessment of Benchmarks Executed on Bare-Metal and Using Para-Virtualisation Mark Baker, Garry Smith and Ahmad Hasaan SSE, University of Reading Paravirtualization A full assessment of paravirtualization

More information

22S:295 Seminar in Applied Statistics High Performance Computing in Statistics

22S:295 Seminar in Applied Statistics High Performance Computing in Statistics 22S:295 Seminar in Applied Statistics High Performance Computing in Statistics Luke Tierney Department of Statistics & Actuarial Science University of Iowa August 30, 2007 Luke Tierney (U. of Iowa) HPC

More information

64-Bit versus 32-Bit CPUs in Scientific Computing

64-Bit versus 32-Bit CPUs in Scientific Computing 64-Bit versus 32-Bit CPUs in Scientific Computing Axel Kohlmeyer Lehrstuhl für Theoretische Chemie Ruhr-Universität Bochum March 2004 1/25 Outline 64-Bit and 32-Bit CPU Examples

More information

Advanced Computational Software

Advanced Computational Software Advanced Computational Software Scientific Libraries: Part 2 Blue Waters Undergraduate Petascale Education Program May 29 June 10 2011 Outline Quick review Fancy Linear Algebra libraries - ScaLAPACK -PETSc

More information

CAS2K5. Jim Tuccillo jtuccillo@lnxi.com 912.576.5215

CAS2K5. Jim Tuccillo jtuccillo@lnxi.com 912.576.5215 CAS2K5 Jim Tuccillo jtuccillo@lnxi.com 912.576.5215 Agenda icorporate Overview isystem Architecture inode Design iprocessor Options iinterconnect Options ihigh Performance File Systems Lustre isystem Management

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

QUADRICS IN LINUX CLUSTERS

QUADRICS IN LINUX CLUSTERS QUADRICS IN LINUX CLUSTERS John Taylor Motivation QLC 21/11/00 Quadrics Cluster Products Performance Case Studies Development Activities Super-Cluster Performance Landscape CPLANT ~600 GF? 128 64 32 16

More information

Part I Courses Syllabus

Part I Courses Syllabus Part I Courses Syllabus This document provides detailed information about the basic courses of the MHPC first part activities. The list of courses is the following 1.1 Scientific Programming Environment

More information

Cray XT3 Supercomputer Scalable by Design CRAY XT3 DATASHEET

Cray XT3 Supercomputer Scalable by Design CRAY XT3 DATASHEET CRAY XT3 DATASHEET Cray XT3 Supercomputer Scalable by Design The Cray XT3 system offers a new level of scalable computing where: a single powerful computing system handles the most complex problems every

More information

PARALLEL & CLUSTER COMPUTING CS 6260 PROFESSOR: ELISE DE DONCKER BY: LINA HUSSEIN

PARALLEL & CLUSTER COMPUTING CS 6260 PROFESSOR: ELISE DE DONCKER BY: LINA HUSSEIN 1 PARALLEL & CLUSTER COMPUTING CS 6260 PROFESSOR: ELISE DE DONCKER BY: LINA HUSSEIN Introduction What is cluster computing? Classification of Cluster Computing Technologies: Beowulf cluster Construction

More information

HPC Wales Skills Academy Course Catalogue 2015

HPC 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

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

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

Introduction to Linux and Cluster Basics for the CCR General Computing Cluster

Introduction to Linux and Cluster Basics for the CCR General Computing Cluster Introduction to Linux and Cluster Basics for the CCR General Computing Cluster Cynthia Cornelius Center for Computational Research University at Buffalo, SUNY 701 Ellicott St Buffalo, NY 14203 Phone: 716-881-8959

More information

Introduction to the CRAY XE6(Lindgren) environment at PDC. Dr. Lilit Axner (PDC, Sweden)

Introduction to the CRAY XE6(Lindgren) environment at PDC. Dr. Lilit Axner (PDC, Sweden) Introduction to the CRAY XE6(Lindgren) environment at PDC Dr. Lilit Axner (PDC, Sweden) Lindgren System used after the summer school! Cray XE6 8 interactive nodes 1516 dedicated nodes (queue needed!) 24

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

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

Petascale Software Challenges. Piyush Chaudhary piyushc@us.ibm.com High Performance Computing

Petascale Software Challenges. Piyush Chaudhary piyushc@us.ibm.com High Performance Computing Petascale Software Challenges Piyush Chaudhary piyushc@us.ibm.com High Performance Computing Fundamental Observations Applications are struggling to realize growth in sustained performance at scale Reasons

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

ST810 Advanced Computing

ST810 Advanced Computing ST810 Advanced Computing Lecture 17: Parallel computing part I Eric B. Laber Hua Zhou Department of Statistics North Carolina State University Mar 13, 2013 Outline computing Hardware computing overview

More information

An Introduction to High Performance Computing in the Department

An Introduction to High Performance Computing in the Department An Introduction to High Performance Computing in the Department Ashley Ford & Chris Jewell Department of Statistics University of Warwick October 30, 2012 1 Some Background 2 How is Buster used? 3 Software

More information

How To Build A Supermicro Computer With A 32 Core Power Core (Powerpc) And A 32-Core (Powerpc) (Powerpowerpter) (I386) (Amd) (Microcore) (Supermicro) (

How To Build A Supermicro Computer With A 32 Core Power Core (Powerpc) And A 32-Core (Powerpc) (Powerpowerpter) (I386) (Amd) (Microcore) (Supermicro) ( 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

Optimization on Huygens

Optimization on Huygens Optimization on Huygens Wim Rijks wimr@sara.nl Contents Introductory Remarks Support team Optimization strategy Amdahls law Compiler options An example Optimization Introductory Remarks Modern day supercomputers

More information

A Crash course to (The) Bighouse

A Crash course to (The) Bighouse A Crash course to (The) Bighouse Brock Palen brockp@umich.edu SVTI Users meeting Sep 20th Outline 1 Resources Configuration Hardware 2 Architecture ccnuma Altix 4700 Brick 3 Software Packaged Software

More information

SRNWP Workshop. HP Solutions and Activities in Climate & Weather Research. Michael Riedmann European Performance Center

SRNWP Workshop. HP Solutions and Activities in Climate & Weather Research. Michael Riedmann European Performance Center SRNWP Workshop HP Solutions and Activities in Climate & Weather Research Michael Riedmann European Performance Center Agenda A bit of marketing: HP Solutions for HPC A few words about recent Met deals

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

Sourcery Overview & Virtual Machine Installation

Sourcery Overview & Virtual Machine Installation Sourcery Overview & Virtual Machine Installation Damian Rouson, Ph.D., P.E. Sourcery, Inc. www.sourceryinstitute.org Sourcery, Inc. About Us Sourcery, Inc., is a software consultancy founded by and for

More information

IBM Platform Computing : infrastructure management for HPC solutions on OpenPOWER Jing Li, Software Development Manager IBM

IBM Platform Computing : infrastructure management for HPC solutions on OpenPOWER Jing Li, Software Development Manager IBM IBM Platform Computing : infrastructure management for HPC solutions on OpenPOWER Jing Li, Software Development Manager IBM #OpenPOWERSummit Join the conversation at #OpenPOWERSummit 1 Scale-out and Cloud

More information

The CNMS Computer Cluster

The 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 information

An Overview of High- Performance Computing and Challenges for the Future

An Overview of High- Performance Computing and Challenges for the Future The 2006 International Conference on Computational Science and its Applications (ICCSA 2006) An Overview of High- Performance Computing and Challenges for the Future Jack Dongarra University of Tennessee

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

Experiences of numerical simulations on a PC cluster Antti Vanne December 11, 2002

Experiences of numerical simulations on a PC cluster Antti Vanne December 11, 2002 xperiences of numerical simulations on a P cluster xperiences of numerical simulations on a P cluster ecember xperiences of numerical simulations on a P cluster Introduction eowulf concept Using commodity

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

Software of the Earth Simulator

Software of the Earth Simulator Journal of the Earth Simulator, Volume 3, September 2005, 52 59 Software of the Earth Simulator Atsuya Uno The Earth Simulator Center, Japan Agency for Marine-Earth Science and Technology, 3173 25 Showa-machi,

More information

SR-IOV: Performance Benefits for Virtualized Interconnects!

SR-IOV: Performance Benefits for Virtualized Interconnects! SR-IOV: Performance Benefits for Virtualized Interconnects! Glenn K. Lockwood! Mahidhar Tatineni! Rick Wagner!! July 15, XSEDE14, Atlanta! Background! High Performance Computing (HPC) reaching beyond traditional

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

Parallel Processing using the LOTUS cluster

Parallel Processing using the LOTUS cluster Parallel Processing using the LOTUS cluster Alison Pamment / Cristina del Cano Novales JASMIN/CEMS Workshop February 2015 Overview Parallelising data analysis LOTUS HPC Cluster Job submission on LOTUS

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

How To Compare Amazon Ec2 To A Supercomputer For Scientific Applications

How 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 information

CSE Case Study: Optimising the CFD code DG-DES

CSE Case Study: Optimising the CFD code DG-DES CSE Case Study: Optimising the CFD code DG-DES CSE Team NAG Ltd., support@hector.ac.uk Naveed Durrani University of Sheffield June 2008 Introduction One of the activities of the NAG CSE (Computational

More information

ALPS - 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 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 information

The Julia Language Seminar Talk. Francisco Vidal Meca

The Julia Language Seminar Talk. Francisco Vidal Meca The Julia Language Seminar Talk Francisco Vidal Meca Languages for Scientific Computing Aachen, January 16, 2014 Why Julia? Many languages, each one a trade-off Multipurpose language: scientific computing

More information

A Framework For Application Performance Understanding and Prediction

A Framework For Application Performance Understanding and Prediction A Framework For Application Performance Understanding and Prediction Laura Carrington Ph.D. Lab (Performance Modeling & Characterization) at the 1 About us An NSF lab see www.sdsc.edu/ The mission of the

More information

Public Domain commercial vendor specific

Public Domain commercial vendor specific Numerical Libraries Numerical L ibraries Public Domain commercial vendor specific 1 Public Domain Lapack-3 linear equations, eigenproblems BLAS fast linear kernels Linpack linear equations Eispack eigenproblems

More information

1 DCSC/AU: HUGE. DeIC Sekretariat 2013-03-12/RB. Bilag 1. DeIC (DCSC) Scientific Computing Installations

1 DCSC/AU: HUGE. DeIC Sekretariat 2013-03-12/RB. Bilag 1. DeIC (DCSC) Scientific Computing Installations Bilag 1 2013-03-12/RB DeIC (DCSC) Scientific Computing Installations DeIC, previously DCSC, currently has a number of scientific computing installations, distributed at five regional operating centres.

More information

Using Reservations to Implement Fixed Duration Node Allotment with PBS Professional

Using Reservations to Implement Fixed Duration Node Allotment with PBS Professional Using Reservations to Implement Fixed Duration Node Allotment with PBS Professional Brajesh Pande Senior Computer Engineer Computer Centre IIT Kanpur Kanpur, UP 208016 India Manoj Soni Technical Consultant

More information

Planning the Installation and Installing SQL Server

Planning the Installation and Installing SQL Server Chapter 2 Planning the Installation and Installing SQL Server In This Chapter c SQL Server Editions c Planning Phase c Installing SQL Server 22 Microsoft SQL Server 2012: A Beginner s Guide This chapter

More information

GPUs for Scientific Computing

GPUs 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 information

Computational infrastructure for NGS data analysis. José Carbonell Caballero Pablo Escobar

Computational infrastructure for NGS data analysis. José Carbonell Caballero Pablo Escobar Computational infrastructure for NGS data analysis José Carbonell Caballero Pablo Escobar Computational infrastructure for NGS Cluster definition: A computer cluster is a group of linked computers, working

More information

MareNostrum: Building and running the system - Lisbon, August 29th, 2005

MareNostrum: Building and running the system - Lisbon, August 29th, 2005 MareNostrum Building and running the system Lisbon, August 29th, 2005 Sergi Girona Operations Head History: Three Rivers Project IBM project Objective Bring IBM Power Systems back into the Top5 list Push

More information

Three Paths to Faster Simulations Using ANSYS Mechanical 16.0 and Intel Architecture

Three Paths to Faster Simulations Using ANSYS Mechanical 16.0 and Intel Architecture White Paper Intel Xeon processor E5 v3 family Intel Xeon Phi coprocessor family Digital Design and Engineering Three Paths to Faster Simulations Using ANSYS Mechanical 16.0 and Intel Architecture Executive

More information

YALES2 porting on the Xeon- Phi Early results

YALES2 porting on the Xeon- Phi Early results YALES2 porting on the Xeon- Phi Early results Othman Bouizi Ghislain Lartigue Innovation and Pathfinding Architecture Group in Europe, Exascale Lab. Paris CRIHAN - Demi-journée calcul intensif, 16 juin

More information

LANL Computing Environment for PSAAP Partners

LANL Computing Environment for PSAAP Partners LANL Computing Environment for PSAAP Partners Robert Cunningham rtc@lanl.gov HPC Systems Group (HPC-3) July 2011 LANL Resources Available To Alliance Users Mapache is new, has a Lobo-like allocation Linux

More information

HPC 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 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 information

Big Data and Cloud Computing for GHRSST

Big Data and Cloud Computing for GHRSST Big Data and Cloud Computing for GHRSST Jean-Francois Piollé (jfpiolle@ifremer.fr) Frédéric Paul, Olivier Archer CERSAT / Institut Français de Recherche pour l Exploitation de la Mer Facing data deluge

More information

2016 Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures Call for Proposal of Joint Research Projects

2016 Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures Call for Proposal of Joint Research Projects 2016 Joint Usage/Research Center for Interdisciplinary Large-scale Infrastructures Call for Proposal of Joint Research Projects The Joint Usage/Research Center for Interdisciplinary Large-scale Infrastructures

More information

Maximize Performance and Scalability of RADIOSS* Structural Analysis Software on Intel Xeon Processor E7 v2 Family-Based Platforms

Maximize Performance and Scalability of RADIOSS* Structural Analysis Software on Intel Xeon Processor E7 v2 Family-Based Platforms Maximize Performance and Scalability of RADIOSS* Structural Analysis Software on Family-Based Platforms Executive Summary Complex simulations of structural and systems performance, such as car crash simulations,

More information

An introduction to Fyrkat

An introduction to Fyrkat Cluster Computing May 25, 2011 How to get an account https://fyrkat.grid.aau.dk/useraccount How to get help https://fyrkat.grid.aau.dk/wiki What is a Cluster Anyway It is NOT something that does any of

More information

PLGrid Infrastructure Solutions For Computational Chemistry

PLGrid Infrastructure Solutions For Computational Chemistry PLGrid Infrastructure Solutions For Computational Chemistry Mariola Czuchry, Klemens Noga, Mariusz Sterzel ACC Cyfronet AGH 2 nd Polish- Taiwanese Conference From Molecular Modeling to Nano- and Biotechnology,

More information

JUROPA Linux Cluster An Overview. 19 May 2014 Ulrich Detert

JUROPA Linux Cluster An Overview. 19 May 2014 Ulrich Detert Mitglied der Helmholtz-Gemeinschaft JUROPA Linux Cluster An Overview 19 May 2014 Ulrich Detert JuRoPA JuRoPA Jülich Research on Petaflop Architectures Bull, Sun, ParTec, Intel, Mellanox, Novell, FZJ JUROPA

More information

Fujitsu HPC Cluster Suite

Fujitsu HPC Cluster Suite Webinar Fujitsu HPC Cluster Suite 29 th May 2013 Павел Борох 0 HPC: полный спектр предложений от Fujitsu PRIMERGY Server, Workstation Cluster Management & Operation ISV and Research Partnerships HPC Cluster

More information

Introduction to Cloud Computing

Introduction to Cloud Computing Introduction to Cloud Computing Parallel Processing I 15 319, spring 2010 7 th Lecture, Feb 2 nd Majd F. Sakr Lecture Motivation Concurrency and why? Different flavors of parallel computing Get the basic

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

JuRoPA. Jülich Research on Petaflop Architecture. One Year on. Hugo R. Falter, COO Lee J Porter, Engineering

JuRoPA. Jülich Research on Petaflop Architecture. One Year on. Hugo R. Falter, COO Lee J Porter, Engineering JuRoPA Jülich Research on Petaflop Architecture One Year on Hugo R. Falter, COO Lee J Porter, Engineering HPC Advisoy Counsil, Workshop 2010, Lugano 1 Outline The work of ParTec on JuRoPA (HF) Overview

More information

High Productivity Computing With Windows

High Productivity Computing With Windows High Productivity Computing With Windows Windows HPC Server 2008 Justin Alderson 16-April-2009 Agenda The purpose of computing is... The purpose of computing is insight not numbers. Richard Hamming Why

More information

Cluster Computing in a College of Criminal Justice

Cluster Computing in a College of Criminal Justice Cluster Computing in a College of Criminal Justice Boris Bondarenko and Douglas E. Salane Mathematics & Computer Science Dept. John Jay College of Criminal Justice The City University of New York 2004

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

Data Centric Systems (DCS)

Data 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 information

Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC

Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC Goals of the session Overview of parallel MATLAB Why parallel MATLAB? Multiprocessing in MATLAB Parallel MATLAB using the Parallel Computing

More information

Recommended hardware system configurations for ANSYS users

Recommended hardware system configurations for ANSYS users Recommended hardware system configurations for ANSYS users The purpose of this document is to recommend system configurations that will deliver high performance for ANSYS users across the entire range

More information

Paul s Norwegian Vacation (or Experiences with Cluster Computing ) Paul Sack 20 September, 2002. sack@stud.ntnu.no www.stud.ntnu.

Paul s Norwegian Vacation (or Experiences with Cluster Computing ) Paul Sack 20 September, 2002. sack@stud.ntnu.no www.stud.ntnu. Paul s Norwegian Vacation (or Experiences with Cluster Computing ) Paul Sack 20 September, 2002 sack@stud.ntnu.no www.stud.ntnu.no/ sack/ Outline Background information Work on clusters Profiling tools

More information

High Performance Computing (HPC)

High Performance Computing (HPC) High Performance Computing (HPC) High Performance Computing (HPC) White Paper Attn: Name, Title Phone: xxx.xxx.xxxx Fax: xxx.xxx.xxxx 1.0 OVERVIEW When heterogeneous enterprise environments are involved,

More information

Performance analysis of parallel applications on modern multithreaded processor architectures

Performance 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 information

Cloud Computing through Virtualization and HPC technologies

Cloud Computing through Virtualization and HPC technologies Cloud Computing through Virtualization and HPC technologies William Lu, Ph.D. 1 Agenda Cloud Computing & HPC A Case of HPC Implementation Application Performance in VM Summary 2 Cloud Computing & HPC HPC

More information

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia Hadoop on a Low-Budget General Purpose HPC Cluster in Academia Paolo Garza, Paolo Margara, Nicolò Nepote, Luigi Grimaudo, and Elio Piccolo Dipartimento di Automatica e Informatica, Politecnico di Torino,

More information

The PRACE Project Applications, Benchmarks and Prototypes. Dr. Peter Michielse (NCF, Netherlands)

The PRACE Project Applications, Benchmarks and Prototypes. Dr. Peter Michielse (NCF, Netherlands) The PRACE Project Applications, Benchmarks and Prototypes Dr. Peter Michielse (NCF, Netherlands) Introduction to me Ph.D. in numerical mathematics (parallel adaptive multigrid solvers) from Delft University

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

E U F O R I A D S A 3. 1

E U F O R I A D S A 3. 1 aidentifier: Date: Activity: Authors: Status: Link: 01-12-2009 SA3 Adrian Jackson Deliverable No link E U F O R I A D S A 3. 1 M A I N T E N A N C E, R U N N I N G, A N D Q U E R Y A N S W E R I N G F

More information

Running applications on the Cray XC30 4/12/2015

Running applications on the Cray XC30 4/12/2015 Running applications on the Cray XC30 4/12/2015 1 Running on compute nodes By default, users do not log in and run applications on the compute nodes directly. Instead they launch jobs on compute nodes

More information

CSCS performance monitoring framework. ICPP/PSTI 2013 ENS Lyon jgp@cscs.ch

CSCS performance monitoring framework. ICPP/PSTI 2013 ENS Lyon jgp@cscs.ch CSCS performance monitoring framework ICPP/PSTI 2013 ENS Lyon jgp@cscs.ch - Context and Motivation - Collecting performance data by focusing on: > compilation (altd) > proposal (perftools) > runtime (perftools-lite)

More information

PACE Predictive Analytics Center of Excellence @ San Diego Supercomputer Center, UCSD. Natasha Balac, Ph.D.

PACE Predictive Analytics Center of Excellence @ San Diego Supercomputer Center, UCSD. Natasha Balac, Ph.D. PACE Predictive Analytics Center of Excellence @ San Diego Supercomputer Center, UCSD Natasha Balac, Ph.D. Brief History of SDSC 1985-1997: NSF national supercomputer center; managed by General Atomics

More information

White Paper The Numascale Solution: Extreme BIG DATA Computing

White Paper The Numascale Solution: Extreme BIG DATA Computing White Paper The Numascale Solution: Extreme BIG DATA Computing By: Einar Rustad ABOUT THE AUTHOR Einar Rustad is CTO of Numascale and has a background as CPU, Computer Systems and HPC Systems De-signer

More information

Operating System Compiler Bits Part Number CNL 7.0 AMD Opteron (x86 64) Windows XP/Vista x64 Visual Studio 2008 64 P10488

Operating System Compiler Bits Part Number CNL 7.0 AMD Opteron (x86 64) Windows XP/Vista x64 Visual Studio 2008 64 P10488 This document is published periodically as a service to our customers. Supported environments are always changing, so if do not see your environment listed, please contact your account manager. If you

More information

Supercomputing on Windows. Microsoft (Thailand) Limited

Supercomputing on Windows. Microsoft (Thailand) Limited Supercomputing on Windows Microsoft (Thailand) Limited W hat D efines S upercom puting A lso called High Performance Computing (HPC) Technical Computing Cutting edge problems in science, engineering and

More information

Large Scale Simulation on Clusters using COMSOL 4.2

Large Scale Simulation on Clusters using COMSOL 4.2 Large Scale Simulation on Clusters using COMSOL 4.2 Darrell W. Pepper 1 Xiuling Wang 2 Steven Senator 3 Joseph Lombardo 4 David Carrington 5 with David Kan and Ed Fontes 6 1 DVP-USAFA-UNLV, 2 Purdue-Calumet,

More information

NOTUR Technology Transfer Projects (TTP)

NOTUR Technology Transfer Projects (TTP) NOTUR Technology Transfer Projects (TTP) By Trond Kvamsdal NOTUR 10. Juni 2004, Tromsø, Norway CONTENTS The concept behind the TTPs Results obtained from the TTPs Concluding remarks Purpose Enable optimal

More information

BLM 413E - Parallel Programming Lecture 3

BLM 413E - Parallel Programming Lecture 3 BLM 413E - Parallel Programming Lecture 3 FSMVU Bilgisayar Mühendisliği Öğr. Gör. Musa AYDIN 14.10.2015 2015-2016 M.A. 1 Parallel Programming Models Parallel Programming Models Overview There are several

More information

The Hartree Centre helps businesses unlock the potential of HPC

The Hartree Centre helps businesses unlock the potential of HPC The Hartree Centre helps businesses unlock the potential of HPC Fostering collaboration and innovation across UK industry with help from IBM Overview The need The Hartree Centre needs leading-edge computing

More information

Kashif Iqbal - PhD Kashif.iqbal@ichec.ie

Kashif Iqbal - PhD Kashif.iqbal@ichec.ie HPC/HTC vs. Cloud Benchmarking An empirical evalua.on of the performance and cost implica.ons Kashif Iqbal - PhD Kashif.iqbal@ichec.ie ICHEC, NUI Galway, Ireland With acknowledgment to Michele MicheloDo

More information

A PERFORMANCE COMPARISON USING HPC BENCHMARKS: WINDOWS HPC SERVER 2008 AND RED HAT ENTERPRISE LINUX 5

A PERFORMANCE COMPARISON USING HPC BENCHMARKS: WINDOWS HPC SERVER 2008 AND RED HAT ENTERPRISE LINUX 5 A PERFORMANCE COMPARISON USING HPC BENCHMARKS: WINDOWS HPC SERVER 2008 AND RED HAT ENTERPRISE LINUX 5 R. Henschel, S. Teige, H. Li, J. Doleschal, M. S. Mueller October 2010 Contents HPC at Indiana University

More information