How To Compare Amazon Ec2 To A Supercomputer For Scientific Applications
|
|
|
- Adam Anthony
- 3 years ago
- Views:
Transcription
1 Amazon Cloud Performance Compared David Adams
2 Amazon EC2 performance comparison How does EC2 compare to traditional supercomputer for scientific applications? "Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud", 2010
3 HPC Benchmarking NERSC - benchmark framework MPI Head node, worker nodes File server implemented with EBS IPM - MPI communication monitor Compared: Amazon EC2 - N node, m1.large instance 4xEC2 compute units ghz opteron or xeon per unit Carver node, 2 x intel quad 2.67 nehalem / node Franklin node cray xt4, quad 2.3 opteron / node Lawrencium node 2x intel xeon quad 2.66 / node
4 NERSC Benchmark Suite CAM Community Atmosphere Model Stresses processor data movement and MPI interconnect p2p bandwidth Gamess General Atomic and molecular electronic structure system memory access and bandwidth, collective interconnect performance GTC Stresses indirect addressing and random access memory IMPACT-T Integrated Map and Particle Accelerator Tracking Time sensitive to memory bandwidth and MPI performance
5 NERSC Benchmark Suite Cont MAESTRO Stresses memory performance, latency and global communications MILC Stresses memory bandwidth, prefetching and processing power Paratec Parallel Total Energy Code Stresses global communication bandwidth, processing power HPCC 7 synthetic benchmarks Targets computation, communications
6 Performance: Application Runtime Metrics take into account cluster size Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
7 Performance: Percentage runtime communicating using IPM Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
8 Performance: Sustained Flops Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
9 Considerations using EC2 Heterogeneous cpus: Intel Xeon E GHz quad-core processor AMD Opteron GHz dual-core processor AMD Opteron 2218 HE 2.6GHz dual-core processor Cannot optimize code High performance variability Sharing hardware with other vms Slow node communication Gigabit ethernet "Transient errors" Failure to boot, network misconfigurations, virtual machine hangs Not always able to acquire requested cores 256+ cores require scheduling/reservation
10 Cost/Performance compared to Desktop Grid How does Amazon EC2 compare to Grid Computing? "Cost-Benefit Analysis of Cloud Computing versus Desktop Grids", 2009
11 Desktop Grid/Volunteer Computing Fastest virtual supercomputers (From wikipedia) Bitcoin network PFLOPS BOINC PFLOPS 5 PFLOPS 1.6 PFLOPS 730 TFLOPS 210 TFLOPS Amazon HPC 240 teraflops cores
12 Considerations using VC Slow acquisition of computing resources 7.8 days to achieve 1000 cloud node equivalent Slow task deployment time = (reconnections * # tasks) / # clients 1000 tasks to nodes about 45 min Slow completion times deadlines, priorities, 96+% completion rate Average 9 days vs < 4 hours on dedicated
13 When would you use VC over Cloud? Cost-Benefit Analysis of Cloud Computing versus Desktop Grids
14 Cloud Power attainable given VC Costs Resources Per Month Given 12k/Month Processing Storage SETI 514 TeraFLOPS 7.7 TB Amazon 2 TeraFLOPS* 80 TB* *One or the other
15 Cloud-VC Hybrid Approach Cost-Benefit Analysis of Cloud Computing versus Desktop Grids Host VC Server on Cloud: Cost Breakdown
16 Storage vs Bandwidth Storage vs Bandwidth for a fixed budget Cost-Benefit Analysis of Cloud Computing versus Desktop Grids
17 Conclusions VC outperform clouds on cost for large long term and highly parallel projects Projects on the order of weeks VC needs a certain number of volunteer nodes before cost effectiveness High startup costs make short term projects not cost effective 1 small EC2 instance is equivalent to 2.83 VC hosts Hybrid approach can lower startup and monthly costs of VC 40% savings on SETI
Performance 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
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids Derrick Kondo, Bahman Javadi, Paul Malécot, Franck Cappello INRIA, France David P. Anderson UC Berkeley, USA Cloud Background Vision Hide complexity
Volunteer Computing, Grid Computing and Cloud Computing: Opportunities for Synergy. Derrick Kondo INRIA, France
Volunteer Computing, Grid Computing and Cloud Computing: Opportunities for Synergy Derrick Kondo INRIA, France Outline Cloud Grid Volunteer Computing Cloud Background Vision Hide complexity of hardware
Cloud Computing. Alex Crawford Ben Johnstone
Cloud Computing Alex Crawford Ben Johnstone Overview What is cloud computing? Amazon EC2 Performance Conclusions What is the Cloud? A large cluster of machines o Economies of scale [1] Customers use a
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
A Study on the Scalability of Hybrid LS-DYNA on Multicore Architectures
11 th International LS-DYNA Users Conference Computing Technology A Study on the Scalability of Hybrid LS-DYNA on Multicore Architectures Yih-Yih Lin Hewlett-Packard Company Abstract In this paper, the
Volunteer Computing and Cloud Computing: Opportunities for Synergy
Volunteer Computing and Cloud Computing: Opportunities for Synergy Derrick Kondo INRIA, France Performance vs. Reliability vs. Costs high Cost Reliability high low low low Performance high Performance
Science in the Cloud Exploring Cloud Computing for Science Shane Canon. Moab Con May 11, 2011
Science in the Cloud Exploring Cloud Computing for Science Shane Canon Moab Con May 11, 2011 Outline Definitions The Magellan Project Experience and Lessons Learned Cloud Misconceptions Closing remarks
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
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
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
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
Enabling Technologies for Distributed and Cloud Computing
Enabling Technologies for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Multi-core CPUs and Multithreading
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids. By : Paritosh Heera( MT2011099)
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids By : Paritosh Heera( MT2011099) Abstract and Introduction 2 computing environment mainly for scientific applications i.e cloud and VC Ground
Debunking some Common Misconceptions of Science in the Cloud
Debunking some Common Misconceptions of Science in the Cloud Shane Canon Lawrence Berkeley National Lab ScienceCloud 2011 San Jose, CA The Push towards Clouds A survey of 102 large, multinational companies
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!
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
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud Keith R. Jackson and Lavanya Ramakrishnan Advanced Computing for Science Lawrence Berkeley National Lab
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
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud Keith R. Jackson and Lavanya Ramakrishnan Advanced Computing for Science Lawrence Berkeley National Lab
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
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
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
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
Performance Across the Generations: Processor and Interconnect Technologies
WHITE Paper Performance Across the Generations: Processor and Interconnect Technologies HPC Performance Results ANSYS CFD 12 Executive Summary Today s engineering, research, and development applications
Building a Private Cloud with Eucalyptus
Building a Private Cloud with Eucalyptus 5th IEEE International Conference on e-science Oxford December 9th 2009 Christian Baun, Marcel Kunze KIT The cooperation of Forschungszentrum Karlsruhe GmbH und
StACC: St Andrews Cloud Computing Co laboratory. A Performance Comparison of Clouds. Amazon EC2 and Ubuntu Enterprise Cloud
StACC: St Andrews Cloud Computing Co laboratory A Performance Comparison of Clouds Amazon EC2 and Ubuntu Enterprise Cloud Jonathan S Ward StACC (pronounced like 'stack') is a research collaboration launched
Understanding the Performance and Potential of Cloud Computing for Scientific Applications
IEEE TRANSACTIONS ON CLOUD COMPUTING, MANUSCRIPT ID 1 Understanding the Performance and Potential of Cloud Computing for Scientific Applications Iman Sadooghi, Jesús Hernández Martin, Tonglin Li, Kevin
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
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
Department of Computer Sciences University of Salzburg. HPC In The Cloud? Seminar aus Informatik SS 2011/2012. July 16, 2012
Department of Computer Sciences University of Salzburg HPC In The Cloud? Seminar aus Informatik SS 2011/2012 July 16, 2012 Michael Kleber, mkleber@cosy.sbg.ac.at Contents 1 Introduction...................................
A Holistic Model of the Energy-Efficiency of Hypervisors
A Holistic Model of the -Efficiency of Hypervisors in an HPC Environment Mateusz Guzek,Sebastien Varrette, Valentin Plugaru, Johnatan E. Pecero and Pascal Bouvry SnT & CSC, University of Luxembourg, Luxembourg
A Performance and Cost Analysis of the Amazon Elastic Compute Cloud (EC2) Cluster Compute Instance
A Performance and Cost Analysis of the Amazon Elastic Compute Cloud (EC2) Cluster Compute Instance Michael Fenn (mfenn@psu.edu), Jason Holmes (jholmes@psu.edu), Jeffrey Nucciarone (nucci@psu.edu) Research
Comparing Cloud Computing Resources for Model Calibration with PEST
Comparing Cloud Computing Resources for Model Calibration with PEST CWEMF Annual Meeting March 10, 2015 Charles Brush Modeling Support Branch, Bay-Delta Office California Department of Water Resources,
Defense Technical Information Center Compilation Part Notice
UNCLASSIFIED Defense Technical Information Center Compilation Part Notice ADP023801 TITLE: Application Scalability and Performance on Multicore Architectures DISTRIBUTION: Approved for public release,
System Models for Distributed and Cloud Computing
System Models for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Classification of Distributed Computing Systems
10- High Performance Compu5ng
10- High Performance Compu5ng (Herramientas Computacionales Avanzadas para la Inves6gación Aplicada) Rafael Palacios, Fernando de Cuadra MRE Contents Implemen8ng computa8onal tools 1. High Performance
Enabling Technologies for Distributed Computing
Enabling Technologies for Distributed Computing Dr. Sanjay P. Ahuja, Ph.D. Fidelity National Financial Distinguished Professor of CIS School of Computing, UNF Multi-core CPUs and Multithreading Technologies
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
HPC Update: Engagement Model
HPC Update: Engagement Model MIKE VILDIBILL Director, Strategic Engagements Sun Microsystems mikev@sun.com Our Strategy Building a Comprehensive HPC Portfolio that Delivers Differentiated Customer Value
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud
IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014 1 Agenda v Mapping clients needs to cloud technologies v Addressing your pain
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
Introduction to High Performance Cluster Computing. Cluster Training for UCL Part 1
Introduction to High Performance Cluster Computing Cluster Training for UCL Part 1 What is HPC HPC = High Performance Computing Includes Supercomputing HPCC = High Performance Cluster Computing Note: these
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
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
David Rioja Redondo Telecommunication Engineer Englobe Technologies and Systems
David Rioja Redondo Telecommunication Engineer Englobe Technologies and Systems About me David Rioja Redondo Telecommunication Engineer - Universidad de Alcalá >2 years building and managing clusters UPM
CPU Benchmarks Over 600,000 CPUs Benchmarked
Shopping cart Search Home Software Hardware Benchmarks Services Store Support Forums About Us Home» CPU Benchmarks» Multiple CPU Systems CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC
Performance Analysis of a Hybrid MPI/OpenMP Application on Multi-core Clusters
Performance Analysis of a Hybrid MPI/OpenMP Application on Multi-core Clusters Martin J. Chorley a, David W. Walker a a School of Computer Science and Informatics, Cardiff University, Cardiff, UK Abstract
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,
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
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.
Comparing the performance of the Landmark Nexus reservoir simulator on HP servers
WHITE PAPER Comparing the performance of the Landmark Nexus reservoir simulator on HP servers Landmark Software & Services SOFTWARE AND ASSET SOLUTIONS Comparing the performance of the Landmark Nexus
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
A Very Brief Introduction To Cloud Computing. Jens Vöckler, Gideon Juve, Ewa Deelman, G. Bruce Berriman
A Very Brief Introduction To Cloud Computing Jens Vöckler, Gideon Juve, Ewa Deelman, G. Bruce Berriman What is The Cloud Cloud computing refers to logical computational resources accessible via a computer
Magellan A Test Bed to Explore Cloud Computing for Science Shane Canon and Lavanya Ramakrishnan Cray XE6 Training February 8, 2011
Magellan A Test Bed to Explore Cloud Computing for Science Shane Canon and Lavanya Ramakrishnan Cray XE6 Training February 8, 2011 Magellan Exploring Cloud Computing Co-located at two DOE-SC Facilities
Optimization of a parallel permutation testing function for the SPRINT R package
CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE Concurrency Computat.: Pract. Exper. 2011; 23:2258 2268 Published online 23 June 2011 in Wiley Online Library (wileyonlinelibrary.com)..1787 SPECIAL
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
Seeking Opportunities for Hardware Acceleration in Big Data Analytics
Seeking Opportunities for Hardware Acceleration in Big Data Analytics Paul Chow High-Performance Reconfigurable Computing Group Department of Electrical and Computer Engineering University of Toronto Who
FLOW-3D Performance Benchmark and Profiling. September 2012
FLOW-3D Performance Benchmark and Profiling September 2012 Note The following research was performed under the HPC Advisory Council activities Participating vendors: FLOW-3D, Dell, Intel, Mellanox Compute
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
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
Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware
Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware 1 / 17 Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware X. Besseron 1 V.
Performance measurement of a private Cloud in the OpenCirrus Testbed
Performance measurement of a private Cloud in the OpenCirrus Testbed 4th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '09) Euro-Par 2009 Delft August 25th 2009 Christian Baun KIT
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
Workshop on Parallel and Distributed Scientific and Engineering Computing, Shanghai, 25 May 2012
Scientific Application Performance on HPC, Private and Public Cloud Resources: A Case Study Using Climate, Cardiac Model Codes and the NPB Benchmark Suite Peter Strazdins (Research School of Computer Science),
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
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
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids
Cost-Benefit Analysis of Cloud Computing versus Desktop Grids Derrick Kondo 1, Bahman Javadi 1, Paul Malecot 1, Franck Cappello 1, David P. Anderson 2 1 INRIA, France, 2 UC Berkeley, USA Contact author:
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
PassMark - CPU Mark Multiple CPU Systems - Updated 17th of July 2012
1 z 5 2012-07-17 08:26 Shopping cart Search Home Software Hardware Benchmarks Services Store Support Forums About Us Home» CPU Benchmarks ť Multiple CPU Systems CPU Benchmarks Video Card Benchmarks Hard
wu.cloud: Insights Gained from Operating a Private Cloud System
wu.cloud: Insights Gained from Operating a Private Cloud System Stefan Theußl, Institute for Statistics and Mathematics WU Wirtschaftsuniversität Wien March 23, 2011 1 / 14 Introduction In statistics we
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
High-Performance, Low-Cost Computational Chemistry: Servers in a Stick, Box, and Cloud. Nathan Vance Polik Group Hope College February 19, 2015
High-Performance, Low-Cost Computational Chemistry: Servers in a Stick, Box, and Cloud Nathan Vance Polik Group Hope College February 19, 2015 Outline The use and history of computing in chemistry The
MAGELLAN 54 S CIDAC REVIEW S PRING 2010 WWW. SCIDACREVIEW. ORG
MAGELLAN Exploring CLOUD Computing for DOE s Scientific Mission Cloud computing is gaining traction in the commercial world, with companies like Amazon, Google, and Yahoo offering pay-to-play cycles to
Toward a practical HPC Cloud : Performance tuning of a virtualized HPC cluster
Toward a practical HPC Cloud : Performance tuning of a virtualized HPC cluster Ryousei Takano Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology
Streamline 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
A Quantitative Analysis of High Performance Computing with Amazon s EC2 Infrastructure: The Death of the Local Cluster?
Preliminary version. Final version appears In Proceedings of the 10 th IEEE/ ACM International Conference on Grid Computing (Grid 2009). Oct 13-15 2009. Banff, Alberta, Canada. A Quantitative Analysis
Improved LS-DYNA Performance on Sun Servers
8 th International LS-DYNA Users Conference Computing / Code Tech (2) Improved LS-DYNA Performance on Sun Servers Youn-Seo Roh, Ph.D. And Henry H. Fong Sun Microsystems, Inc. Abstract Current Sun platforms
Using the Windows Cluster
Using the Windows Cluster Christian Terboven terboven@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University Windows HPC 2008 (II) September 17, RWTH Aachen Agenda o Windows Cluster
Dutch HPC Cloud: flexible HPC for high productivity in science & business
Dutch HPC Cloud: flexible HPC for high productivity in science & business Dr. Axel Berg SARA national HPC & e-science Support Center, Amsterdam, NL April 17, 2012 4 th PRACE Executive Industrial Seminar,
Home Software Hardware Benchmarks Services Store Support Forums About Us. CPU Mark Price Performance (Click to select desired chart)
1 z 9 2012-11-16 08:32 Shopping cart Search Home Software Hardware Benchmarks Services Store Support Forums About Us Home» CPU Benchmarks» High End CPU's CPU Benchmarks Over 600,000 CPUs Benchmarked High
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
On-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
Systems, 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
Grid Computing vs Cloud
Chapter 3 Grid Computing vs Cloud Computing 3.1 Grid Computing Grid computing [8, 23, 25] is based on the philosophy of sharing information and power, which gives us access to another type of heterogeneous
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
SR-IOV In High Performance Computing
SR-IOV In High Performance Computing Hoot Thompson & Dan Duffy NASA Goddard Space Flight Center Greenbelt, MD 20771 hoot@ptpnow.com daniel.q.duffy@nasa.gov www.nccs.nasa.gov Focus on the research side
VON/K: A Fast Virtual Overlay Network Embedded in KVM Hypervisor for High Performance Computing
Journal of Information & Computational Science 9: 5 (2012) 1273 1280 Available at http://www.joics.com VON/K: A Fast Virtual Overlay Network Embedded in KVM Hypervisor for High Performance Computing Yuan
Cluster Scalability of ANSYS FLUENT 12 for a Large Aerodynamics Case on the Darwin Supercomputer
Cluster Scalability of ANSYS FLUENT 12 for a Large Aerodynamics Case on the Darwin Supercomputer Stan Posey, MSc and Bill Loewe, PhD Panasas Inc., Fremont, CA, USA Paul Calleja, PhD University of Cambridge,
Neptune. A Domain Specific Language for Deploying HPC Software on Cloud Platforms. Chris Bunch Navraj Chohan Chandra Krintz Khawaja Shams
Neptune A Domain Specific Language for Deploying HPC Software on Cloud Platforms Chris Bunch Navraj Chohan Chandra Krintz Khawaja Shams ScienceCloud 2011 @ San Jose, CA June 8, 2011 Cloud Computing Three
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
GRIDCENTRIC VMS TECHNOLOGY VDI PERFORMANCE STUDY
GRIDCENTRIC VMS TECHNOLOGY VDI PERFORMANCE STUDY TECHNICAL WHITE PAPER MAY 1 ST, 2012 GRIDCENTRIC S VIRTUAL MEMORY STREAMING (VMS) TECHNOLOGY SIGNIFICANTLY IMPROVES THE COST OF THE CLASSIC VIRTUAL MACHINE
Performance In the Cloud. White paper
Hardware vs. Amazon EC2 Cloud Performance In the Cloud White paper September, 2009 Ron Warshawsky Eugene Skobel Copyright 2009 Enteros, Inc. All rights reserved. No part of this publication may be reproduced,
Home Software Hardware Benchmarks Services Store Support Forums About Us
Pass - CPU Benchmarks - List of Benchmarked CPUs 1 z 22 2010-12-01 07:30 Shopping cart Search Home Software Hardware Benchmarks Services Store Support Forums About Us Home» CPU Benchmarks» CPU List CPU
Cloud computing for fire engineering. Chris Salter Hoare Lea, London, United Kingdom, ChrisSalter@hoarelea.com
Cloud computing for fire engineering Chris Salter Hoare Lea, London, United Kingdom, ChrisSalter@hoarelea.com Abstract: Fire Dynamics Simulator (FDS) is a computing tool used by various research and industrial
LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance
11 th International LS-DYNA Users Conference Session # LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance Gilad Shainer 1, Tong Liu 2, Jeff Layton 3, Onur Celebioglu
PSE Molekulardynamik
OpenMP, bigger Applications 12.12.2014 Outline Schedule Presentations: Worksheet 4 OpenMP Multicore Architectures Membrane, Crystallization Preparation: Worksheet 5 2 Schedule 10.10.2014 Intro 1 WS 24.10.2014
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
Clearing the Clouds. Understanding cloud computing. Ali Khajeh-Hosseini ST ANDREWS CLOUD COMPUTING CO-LABORATORY. Cloud computing
Clearing the Clouds Understanding cloud computing Ali Khajeh-Hosseini ST ANDREWS CLOUD COMPUTING CO-LABORATORY Cloud computing There are many definitions and they all differ Simply put, cloud computing
Numerix CrossAsset XL and Windows HPC Server 2008 R2
Numerix CrossAsset XL and Windows HPC Server 2008 R2 Faster Performance for Valuation and Risk Management in Complex Derivative Portfolios Microsoft Corporation Published: February 2011 Abstract Numerix,