High Performance Computing: A Review of Parallel Computing with ANSYS solutions. Efficient and Smart Solutions for Large Models

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "High Performance Computing: A Review of Parallel Computing with ANSYS solutions. Efficient and Smart Solutions for Large Models"

Transcription

1 High Performance Computing: A Review of Parallel Computing with ANSYS solutions Efficient and Smart Solutions for Large Models 1

2 Use ANSYS HPC solutions to perform efficient design variations of large structural models 2

3 Everyone can take advantage of HPC solutions for faster computation and variations of large models 3

4 All users can benefit from HPC computations 4

5 Most of the analysis types can be accelerated Static linear or nonlinear analyses Buckling analyses Modal analyses Harmonic & Transient response analyses using the FULL method Low-frequency electromagnetic analysis High-frequency electromagnetic analysis Coupled-field analyses Superelements (use pass) Cyclic symmetry analyses 5

6 Speed Up Size of the model how large is large? elements 8000 elements elements elements Number of CPUs 6

7 A simple and productive licensing scheme ANSYS HPC Pack ANSYS HPC Workgroup 7

8 Which part of the simulation is faster? 8

9 Not all steps of the simulation are parallel Model solution 9

10 How should I read speed-up curves? This is the solver part excellent scaling! This is YOUR time (elapsed) 10

11 The right combination of algorithms and hardware leads to maximum efficiency 11

12 Shared Memory Parallel vs Distributed Memory Parallel 12

13 Challenges and solutions for the distributed method Challenges Efficient and relevant decomposition Load Balancing Speed Maximum Problem Size I/O to communicate between cores. I/O to write results and overflow files during solution. Solutions Partitioning methods, Solver Partitioning methods, Solver Hardware(Processors, Interconnects), Solver Hardware (RAM), Solver Hardware (Interconnects), MPI, Solver Hardware (Disks, Interconnects), MPI, Solver 13

14 Sparse or iterative solvers? Solver type SPARSE (direct) Distributed/Shared Memory DMP/SMP PCG (Iterative) LANB (direct, modal) LANPCG (iterative, modal) SNODE DMP/SMP SMP DMP/SMP SMP 14

15 Get it in-core! Optimal - 24GB Incore - 24GB Minimum - 4GB Optimal -4GB Minimum - 24GB Time (s) 15

16 Check the PCG level! 16

17 Balancing the load: a key to efficiency 17

18 A consequence for contact users 18

19 Remote Load or Displacements All nodes connected to one RBE3 node have to be grouped into the same domain. This hurts load balance! Try to reduce # of RBE3 nodes. Point moment and it is distributed to internal surface of the hole Deformed shape 19

20 The choice of hardware will condition the performance of the solution 20

21 Interconnects to ensure data traffic 6000 TrueScale vs GigE (16 Nodes) In Core Memory Wall Time (secs) TrueScale Gig-E Cores 3 Millions DOF using direct sparse solver Solid 95 elements, worst case for a direct solver 21

22 Disks to efficiently handle I/O 22

23 Approximate size of models wrt configuration RAM (GB) PCG Sparse PC1 (standard ) ~ 16 ~15 ~1 PC2 ( Hautes Performances) ~96 ~100 ~10 (Size of models in million dof) PC1 high end ( 64 bit, 12 GB <= RAM <= 24 GB, 2 disques RAID 0 ( Desktop or Laptop ) PC2 ultra high end (64 bit,96 GB, 4 disques RAID 0 ) 23

24 Taking advantage of new hardware solutions: GPU 24

25 Speed-up from GPU technology Linux cluster : Each node contains 12 Intel Xeon series cores, 96 GB RAM, NVIDIA Tesla M2070, InfiniBand Solder balls Results Courtesy of MicroConsult Engineering, GmbH Solder Joint Benchmark - 4M DOF, Creep Strain Analysis Mold PCB 25

26 Speed-up from multiple nodes with 1 GPU board per node Solder balls 1 8 cores no GPU 1 8 cores, 1 GPU 2 4 cores, 2 GPU 8 1 core, 8 GPU Results Courtesy of MicroConsult Engineering, GmbH Mold PCB 26

27 Reduce computation times from hours to minutes, from days to hours some examples 27

28 Core Solver Speedup Typical benchmark results 5000 ANSYS Mechanical M DOF Distributed ANSYS Sparse Solver AMD Opteron 2360 ("Barcelona") QLogic TrueScale Infiniband ANSYS Mechanical M DOF Distributed ANSYS PCG Solver Intel Xeon 5500 Processor Series ("Nehalem") Number of Cores 28

29 What could it look like on your model? 1 HPC Pack 6 Mio Degrees of Freedom Plasticity, Contact Bolt pretension 4 load steps 29

30 BGA Model 30

31 BGA Model Mesh pictures 31

32 BGA Model Deformations and stresses 32

33 BGA Model comparing solvers PCG lev 1 Sparse Elapsed solve 425 sec 4512 sec solver Mflops Elapsed tot 580 sec 4717 sec 33

34 BGA Model comparing hardware configurations (PCG solver) Laptop 2 X9100 cores 3.06 Ghz Desktop 8 W5580 cores 3.20 Ghz Elapsed PCG 1394 sec 425 sec PCG solver Mflops Elapsed tot 1753 sec 580 sec 34

35 BGA Model elapsed time vs model size Elapsed solve ( sec) Elapsed solve Million DOF 35

36 Use ANSYS HPC solutions to perform efficient design variations of large structural models 36

37 Q & A 37

Clusters: Mainstream Technology for CAE

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

More information

ACCELERATING COMMERCIAL LINEAR DYNAMIC AND NONLINEAR IMPLICIT FEA SOFTWARE THROUGH HIGH- PERFORMANCE COMPUTING

ACCELERATING COMMERCIAL LINEAR DYNAMIC AND NONLINEAR IMPLICIT FEA SOFTWARE THROUGH HIGH- PERFORMANCE COMPUTING ACCELERATING COMMERCIAL LINEAR DYNAMIC AND Vladimir Belsky Director of Solver Development* Luis Crivelli Director of Solver Development* Matt Dunbar Chief Architect* Mikhail Belyi Development Group Manager*

More information

Best practices for efficient HPC performance with large models

Best practices for efficient HPC performance with large models Best practices for efficient HPC performance with large models Dr. Hößl Bernhard, CADFEM (Austria) GmbH PRACE Autumn School 2013 - Industry Oriented HPC Simulations, September 21-27, University of Ljubljana,

More information

Intel Solid-State Drives Increase Productivity of Product Design and Simulation

Intel Solid-State Drives Increase Productivity of Product Design and Simulation WHITE PAPER Intel Solid-State Drives Increase Productivity of Product Design and Simulation Intel Solid-State Drives Increase Productivity of Product Design and Simulation A study of how Intel Solid-State

More information

A Study on the Scalability of Hybrid LS-DYNA on Multicore Architectures

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

More information

SUBJECT: SOLIDWORKS HARDWARE RECOMMENDATIONS - 2013 UPDATE

SUBJECT: SOLIDWORKS HARDWARE RECOMMENDATIONS - 2013 UPDATE SUBJECT: SOLIDWORKS RECOMMENDATIONS - 2013 UPDATE KEYWORDS:, CORE, PROCESSOR, GRAPHICS, DRIVER, RAM, STORAGE SOLIDWORKS RECOMMENDATIONS - 2013 UPDATE Below is a summary of key components of an ideal SolidWorks

More information

HPC Cluster Decisions and ANSYS Configuration Best Practices. Diana Collier Lead Systems Support Specialist Houston UGM May 2014

HPC Cluster Decisions and ANSYS Configuration Best Practices. Diana Collier Lead Systems Support Specialist Houston UGM May 2014 HPC Cluster Decisions and ANSYS Configuration Best Practices Diana Collier Lead Systems Support Specialist Houston UGM May 2014 1 Agenda Introduction Lead Systems Support Specialist Cluster Decisions Job

More information

Accelerating CFD using OpenFOAM with GPUs

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

More information

Turbomachinery CFD on many-core platforms experiences and strategies

Turbomachinery CFD on many-core platforms experiences and strategies Turbomachinery CFD on many-core platforms experiences and strategies Graham Pullan Whittle Laboratory, Department of Engineering, University of Cambridge MUSAF Colloquium, CERFACS, Toulouse September 27-29

More information

Ansys & optislang on a HPC-Cluster

Ansys & optislang on a HPC-Cluster Ansys & optislang on a HPC-Cluster Optimierungsergebnis nach 50 Iterationen Evolutionary Algorithm 1,00E+05 1,00E+04 Messkurve Best-Fit 1,00E+03 Dipl.-Ing. (FH) Holger Mai Engineering GmbH Holunderweg

More information

Lattice QCD Performance. on Multi core Linux Servers

Lattice QCD Performance. on Multi core Linux Servers Lattice QCD Performance on Multi core Linux Servers Yang Suli * Department of Physics, Peking University, Beijing, 100871 Abstract At the moment, lattice quantum chromodynamics (lattice QCD) is the most

More information

List of Problems Solved Introduction p. 1 Concept p. 1 Nodes p. 3 Elements p. 4 Direct Approach p. 5 Linear Spring p. 5 Heat Flow p.

List of Problems Solved Introduction p. 1 Concept p. 1 Nodes p. 3 Elements p. 4 Direct Approach p. 5 Linear Spring p. 5 Heat Flow p. Preface p. v List of Problems Solved p. xiii Introduction p. 1 Concept p. 1 Nodes p. 3 Elements p. 4 Direct Approach p. 5 Linear Spring p. 5 Heat Flow p. 6 Assembly of the Global System of Equations p.

More information

Simultaneous Calculation with ANSYS

Simultaneous Calculation with ANSYS Titelmasterformat Simultaneous Calculation durch Klicken with ANSYS bearbeiten Ian Godfrey, Fujitsu, Nico Nagl, Lars Krüger, CADFEM GmbH WOST 2014, Weimar, Nov. 7th Simultaneous Calculation with ANSYS

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

Numerical Calculation of Laminar Flame Propagation with Parallelism Assignment ZERO, CS 267, UC Berkeley, Spring 2015

Numerical Calculation of Laminar Flame Propagation with Parallelism Assignment ZERO, CS 267, UC Berkeley, Spring 2015 Numerical Calculation of Laminar Flame Propagation with Parallelism Assignment ZERO, CS 267, UC Berkeley, Spring 2015 Xian Shi 1 bio I am a second-year Ph.D. student from Combustion Analysis/Modeling Lab,

More information

David Rioja Redondo Telecommunication Engineer Englobe Technologies and Systems

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

More information

Dell High-Performance Computing Clusters and Reservoir Simulation Research at UT Austin. http://www.dell.com/clustering

Dell High-Performance Computing Clusters and Reservoir Simulation Research at UT Austin. http://www.dell.com/clustering Dell High-Performance Computing Clusters and Reservoir Simulation Research at UT Austin Reza Rooholamini, Ph.D. Director Enterprise Solutions Dell Computer Corp. Reza_Rooholamini@dell.com http://www.dell.com/clustering

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

Self service for software development tools

Self service for software development tools Self service for software development tools Michal Husejko, behalf of colleagues in CERN IT/PES CERN IT Department CH-1211 Genève 23 Switzerland www.cern.ch/it Self service for software development tools

More information

Amazon Cloud Performance Compared. David Adams

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

More information

supercomputing. simplified.

supercomputing. simplified. supercomputing. simplified. INTRODUCING WINDOWS HPC SERVER 2008 R2 SUITE Windows HPC Server 2008 R2, Microsoft s third-generation HPC solution, provides a comprehensive and costeffective solution for harnessing

More information

Fast Setup and Integration of ABAQUS on HPC Linux Cluster and the Study of Its Scalability

Fast Setup and Integration of ABAQUS on HPC Linux Cluster and the Study of Its Scalability Fast Setup and Integration of ABAQUS on HPC Linux Cluster and the Study of Its Scalability Betty Huang, Jeff Williams, Richard Xu Baker Hughes Incorporated Abstract: High-performance computing (HPC), the

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

Performance of HPC Applications on the Amazon Web Services Cloud

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

More information

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 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...................................

More information

Parallel Programming at the Exascale Era: A Case Study on Parallelizing Matrix Assembly For Unstructured Meshes

Parallel Programming at the Exascale Era: A Case Study on Parallelizing Matrix Assembly For Unstructured Meshes Parallel Programming at the Exascale Era: A Case Study on Parallelizing Matrix Assembly For Unstructured Meshes Eric Petit, Loïc Thebault, Quang V. Dinh May 2014 EXA2CT Consortium 2 WPs Organization Proto-Applications

More information

Ignify ecommerce. Item Requirements Notes

Ignify ecommerce. Item Requirements Notes wwwignifycom Tel (888) IGNIFY5 sales@ignifycom Fax (408) 516-9006 Ignify ecommerce Server Configuration 1 Hardware Requirement (Minimum configuration) Item Requirements Notes Operating System Processor

More information

A Cloud Computing Approach for Big DInSAR Data Processing

A Cloud Computing Approach for Big DInSAR Data Processing A Cloud Computing Approach for Big DInSAR Data Processing through the P-SBAS Algorithm Zinno I. 1, Elefante S. 1, Mossucca L. 2, De Luca C. 1,3, Manunta M. 1, Terzo O. 2, Lanari R. 1, Casu F. 1 (1) IREA

More information

Hardware-Aware Analysis and. Presentation Date: Sep 15 th 2009 Chrissie C. Cui

Hardware-Aware Analysis and. Presentation Date: Sep 15 th 2009 Chrissie C. Cui Hardware-Aware Analysis and Optimization of Stable Fluids Presentation Date: Sep 15 th 2009 Chrissie C. Cui Outline Introduction Highlights Flop and Bandwidth Analysis Mehrstellen Schemes Advection Caching

More information

ANSYS Computing Platform Support. July 2013

ANSYS Computing Platform Support. July 2013 ANSYS Computing Platform Support July 2013 1 Outline Computing platform trends and support roadmap Windows Linux Solaris ANSYS 14.5 Platform Support By application Other Platform Related Issues MPI and

More information

High Performance Oracle RAC Clusters A study of SSD SAN storage A Datapipe White Paper

High Performance Oracle RAC Clusters A study of SSD SAN storage A Datapipe White Paper High Performance Oracle RAC Clusters A study of SSD SAN storage A Datapipe White Paper Contents Introduction... 3 Disclaimer... 3 Problem Statement... 3 Storage Definitions... 3 Testing Method... 3 Test

More information

Wind-Tunnel Simulation using TAU on a PC-Cluster: Resources and Performance Stefan Melber-Wilkending / DLR Braunschweig

Wind-Tunnel Simulation using TAU on a PC-Cluster: Resources and Performance Stefan Melber-Wilkending / DLR Braunschweig Wind-Tunnel Simulation using TAU on a PC-Cluster: Resources and Performance Stefan Melber-Wilkending / DLR Braunschweig Folie 1 > Vortrag > Stefan Melber-Wilkending Wind-Tunnel Simulation using TAU on

More information

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

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

More information

System requirements for A+

System requirements for A+ System requirements for A+ Anywhere Learning System: System Requirements Customer-hosted Browser Version Web-based ALS (WBA) Delivery Network Requirements In order to configure WBA+ to properly answer

More information

FLOW-3D Performance Benchmark and Profiling. September 2012

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

More information

Parallel Programming Survey

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

More information

Microsoft Dynamics CRM 2011 Guide to features and requirements

Microsoft Dynamics CRM 2011 Guide to features and requirements Guide to features and requirements New or existing Dynamics CRM Users, here s what you need to know about CRM 2011! This guide explains what new features are available and what hardware and software requirements

More information

Cluster Implementation and Management; Scheduling

Cluster Implementation and Management; Scheduling Cluster Implementation and Management; Scheduling CPS343 Parallel and High Performance Computing Spring 2013 CPS343 (Parallel and HPC) Cluster Implementation and Management; Scheduling Spring 2013 1 /

More information

MIKE by DHI 2014 e sviluppi futuri

MIKE by DHI 2014 e sviluppi futuri MIKE by DHI 2014 e sviluppi futuri Johan Hartnack Torino, 9-10 Ottobre 2013 Technology drivers/trends Smart devices Cloud computing Services vs. Products Technology drivers/trends Multiprocessor hardware

More information

HPC enabling of OpenFOAM R for CFD applications

HPC 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 information

PCIe Over Cable Provides Greater Performance for Less Cost for High Performance Computing (HPC) Clusters. from One Stop Systems (OSS)

PCIe Over Cable Provides Greater Performance for Less Cost for High Performance Computing (HPC) Clusters. from One Stop Systems (OSS) PCIe Over Cable Provides Greater Performance for Less Cost for High Performance Computing (HPC) Clusters from One Stop Systems (OSS) PCIe Over Cable PCIe provides greater performance 8 7 6 5 GBytes/s 4

More information

The High Performance Internet of Things: using GVirtuS for gluing cloud computing and ubiquitous connected devices

The High Performance Internet of Things: using GVirtuS for gluing cloud computing and ubiquitous connected devices WS on Models, Algorithms and Methodologies for Hierarchical Parallelism in new HPC Systems The High Performance Internet of Things: using GVirtuS for gluing cloud computing and ubiquitous connected devices

More information

Understanding the Benefits of IBM SPSS Statistics Server

Understanding the Benefits of IBM SPSS Statistics Server IBM SPSS Statistics Server Understanding the Benefits of IBM SPSS Statistics Server Contents: 1 Introduction 2 Performance 101: Understanding the drivers of better performance 3 Why performance is faster

More information

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU Efficient Parallel Graph Exploration on Multi-Core CPU and GPU Pervasive Parallelism Laboratory Stanford University Sungpack Hong, Tayo Oguntebi, and Kunle Olukotun Graph and its Applications Graph Fundamental

More information

Performance Comparison of ISV Simulation Codes on Microsoft Windows HPC Server 2008 and SUSE Linux Enterprise Server 10.2

Performance Comparison of ISV Simulation Codes on Microsoft Windows HPC Server 2008 and SUSE Linux Enterprise Server 10.2 Fraunhofer Institute for Algorithms and Scientific Computing SCAI Performance Comparison of ISV Simulation Codes on Microsoft HPC Server 28 and SUSE Enterprise Server 1.2 Karsten Reineck und Horst Schwichtenberg

More information

Large-Scale Reservoir Simulation and Big Data Visualization

Large-Scale Reservoir Simulation and Big Data Visualization Large-Scale Reservoir Simulation and Big Data Visualization Dr. Zhangxing John Chen NSERC/Alberta Innovates Energy Environment Solutions/Foundation CMG Chair Alberta Innovates Technology Future (icore)

More information

Hardware/Software Guidelines

Hardware/Software Guidelines There are many things to consider when preparing for a TRAVERSE v11 installation. The number of users, application modules and transactional volume are only a few. Reliable performance of the system is

More information

Using the Windows Cluster

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

More information

AP ENPS ANYWHERE. Hardware and software requirements

AP ENPS ANYWHERE. Hardware and software requirements AP ENPS ANYWHERE Hardware and software requirements Contents Server requirements 3 Hard drives 5 Virtual machines 6 AP ENPS mobile server 6 Client requirements 7 AP ENPS client on a Mac-based computer

More information

ANSYS Computing Platform Support. June 2014

ANSYS Computing Platform Support. June 2014 ANSYS Computing Platform Support June 2014 1 Outline Computing platform trends and support roadmap Windows Linux ANSYS 15.0 Platform Support By application Other Platform Related Issues MPI and Interconnect

More information

Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data

Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data Amanda O Connor, Bryan Justice, and A. Thomas Harris IN52A. Big Data in the Geosciences:

More information

Copyright 2011 Penguin Computing, Inc. All rights reserved. Interactive Preclinical Analytics via GPU Cloud Platform

Copyright 2011 Penguin Computing, Inc. All rights reserved. Interactive Preclinical Analytics via GPU Cloud Platform Copyright 2011 Penguin Computing, Inc. All rights reserved Interactive Preclinical Analytics via GPU Cloud Platform Numira and Penguin Partnership Penguin POD Innovative HPC as a Service platform > Strong

More information

Scalable Data Analysis in R. Lee E. Edlefsen Chief Scientist UserR! 2011

Scalable Data Analysis in R. Lee E. Edlefsen Chief Scientist UserR! 2011 Scalable Data Analysis in R Lee E. Edlefsen Chief Scientist UserR! 2011 1 Introduction Our ability to collect and store data has rapidly been outpacing our ability to analyze it We need scalable data analysis

More information

vrealize Business System Requirements Guide

vrealize Business System Requirements Guide vrealize Business System Requirements Guide vrealize Business Advanced and Enterprise 8.2.1 This document supports the version of each product listed and supports all subsequent versions until the document

More information

Virtualization of a Cluster Batch System

Virtualization of a Cluster Batch System Virtualization of a Cluster Batch System Christian Baun, Volker Büge, Benjamin Klein, Jens Mielke, Oliver Oberst and Armin Scheurer Die Kooperation von Cluster Batch System Batch system accepts computational

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

GPGPU accelerated Computational Fluid Dynamics

GPGPU accelerated Computational Fluid Dynamics t e c h n i s c h e u n i v e r s i t ä t b r a u n s c h w e i g Carl-Friedrich Gauß Faculty GPGPU accelerated Computational Fluid Dynamics 5th GACM Colloquium on Computational Mechanics Hamburg Institute

More information

Benchmarking Large Scale Cloud Computing in Asia Pacific

Benchmarking Large Scale Cloud Computing in Asia Pacific 2013 19th IEEE International Conference on Parallel and Distributed Systems ing Large Scale Cloud Computing in Asia Pacific Amalina Mohamad Sabri 1, Suresh Reuben Balakrishnan 1, Sun Veer Moolye 1, Chung

More information

DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION

DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION DIABLO TECHNOLOGIES MEMORY CHANNEL STORAGE AND VMWARE VIRTUAL SAN : VDI ACCELERATION A DIABLO WHITE PAPER AUGUST 2014 Ricky Trigalo Director of Business Development Virtualization, Diablo Technologies

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

Several tips on how to choose a suitable computer

Several tips on how to choose a suitable computer Several tips on how to choose a suitable computer This document provides more specific information on how to choose a computer that will be suitable for scanning and postprocessing of your data with Artec

More information

Technical Overview of Windows HPC Server 2008

Technical Overview of Windows HPC Server 2008 Technical Overview of Windows HPC Server 2008 Published: June, 2008, Revised September 2008 Abstract Windows HPC Server 2008 brings the power, performance, and scale of high performance computing (HPC)

More information

Oracle Database Scalability in VMware ESX VMware ESX 3.5

Oracle Database Scalability in VMware ESX VMware ESX 3.5 Performance Study Oracle Database Scalability in VMware ESX VMware ESX 3.5 Database applications running on individual physical servers represent a large consolidation opportunity. However enterprises

More information

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

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

More information

CSE 501 Monday, September 09, 2013 Kevin Cleary kpcleary@buffalo.edu

CSE 501 Monday, September 09, 2013 Kevin Cleary kpcleary@buffalo.edu CSE 501 Monday, September 09, 2013 Kevin Cleary kpcleary@buffalo.edu What is Virtualization? Practical Uses What can be virtualized Popular virtualization products Demo Question, answer, discussion Can

More information

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms Amani AlOnazi, David E. Keyes, Alexey Lastovetsky, Vladimir Rychkov Extreme Computing Research Center,

More information

CPU Benchmarks Over 600,000 CPUs Benchmarked

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

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

Supercomputing Resources in BSC, RES and PRACE

Supercomputing Resources in BSC, RES and PRACE www.bsc.es Supercomputing Resources in BSC, RES and PRACE Sergi Girona, BSC-CNS Barcelona, 23 Septiembre 2015 ICTS 2014, un paso adelante para la RES Past RES members and resources BSC-CNS (MareNostrum)

More information

Enabling Technologies for Distributed and Cloud Computing

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

More information

Simulation Techniques for Tablet and Mobile Phone Design Bill McGinn; Ansys Senior Application Engineer

Simulation Techniques for Tablet and Mobile Phone Design Bill McGinn; Ansys Senior Application Engineer Simulation Techniques for Tablet and Mobile Phone Design Bill McGinn; Ansys Senior Application Engineer 1 Tablets in our daily lives Tablets are very entertaining, stylish and powerful Shopping, reading,

More information

Retargeting PLAPACK to Clusters with Hardware Accelerators

Retargeting PLAPACK to Clusters with Hardware Accelerators Retargeting PLAPACK to Clusters with Hardware Accelerators Manuel Fogué 1 Francisco Igual 1 Enrique S. Quintana-Ortí 1 Robert van de Geijn 2 1 Departamento de Ingeniería y Ciencia de los Computadores.

More information

Very Large Enterprise Network Deployment, 25,000+ Users

Very Large Enterprise Network Deployment, 25,000+ Users Very Large Enterprise Network Deployment, 25,000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering

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

Hari Reddy High Performance Computing Solutions Development Systems and Technology Group IBM 6609 Carriage Drive Colleyville, TX 76034

Hari Reddy High Performance Computing Solutions Development Systems and Technology Group IBM 6609 Carriage Drive Colleyville, TX 76034 PERFORMANCE EVALUATION OF STATIC AND DYNAMIC LOAD-BALANCING SCHEMES FOR A PARALLEL COMPUTATIONAL FLUID DYNAMICS SOFTWARE (CFD) APPLICATION (FLUENT) DISTRIBUTED ACROSS CLUSTERS OF HETEROGENEOUS SYMMETRIC

More information

An Application of Hadoop and Horizontal Scaling to Conjunction Assessment. Mike Prausa The MITRE Corporation Norman Facas The MITRE Corporation

An Application of Hadoop and Horizontal Scaling to Conjunction Assessment. Mike Prausa The MITRE Corporation Norman Facas The MITRE Corporation An Application of Hadoop and Horizontal Scaling to Conjunction Assessment Mike Prausa The MITRE Corporation Norman Facas The MITRE Corporation ABSTRACT This paper examines a horizontal scaling approach

More information

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 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

More information

Running R from Amazon's Elastic Compute Cloud

Running R from Amazon's Elastic Compute Cloud Running R on the Running R from Amazon's Elastic Compute Cloud Department of Statistics University of NebraskaLincoln April 30, 2014 Running R on the 1 Introduction 2 3 Running R on the Pre-made AMI Building

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

SUN ORACLE EXADATA STORAGE SERVER

SUN ORACLE EXADATA STORAGE SERVER SUN ORACLE EXADATA STORAGE SERVER KEY FEATURES AND BENEFITS FEATURES 12 x 3.5 inch SAS or SATA disks 384 GB of Exadata Smart Flash Cache 2 Intel 2.53 Ghz quad-core processors 24 GB memory Dual InfiniBand

More information

HPC Deployment of OpenFOAM in an Industrial Setting

HPC Deployment of OpenFOAM in an Industrial Setting HPC Deployment of OpenFOAM in an Industrial Setting Hrvoje Jasak h.jasak@wikki.co.uk Wikki Ltd, United Kingdom PRACE Seminar: Industrial Usage of HPC Stockholm, Sweden, 28-29 March 2011 HPC Deployment

More information

High-Performance Computing Clusters

High-Performance Computing Clusters High-Performance Computing Clusters 7401 Round Pond Road North Syracuse, NY 13212 Ph: 800.227.3432 Fx: 315.433.0945 www.nexlink.com What Is a Cluster? There are several types of clusters and the only constant

More information

Cloud Computing. Alex Crawford Ben Johnstone

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

More information

Seeking Opportunities for Hardware Acceleration in Big Data Analytics

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

More information

IOS110. Virtualization 5/27/2014 1

IOS110. Virtualization 5/27/2014 1 IOS110 Virtualization 5/27/2014 1 Agenda What is Virtualization? Types of Virtualization. Advantages and Disadvantages. Virtualization software Hyper V What is Virtualization? Virtualization Refers to

More information

AeroFluidX: A Next Generation GPU-Based CFD Solver for Engineering Applications

AeroFluidX: A Next Generation GPU-Based CFD Solver for Engineering Applications AeroFluidX: A Next Generation GPU-Based CFD Solver for Engineering Applications Dr. Bjoern Landmann Dr. Kerstin Wieczorek Stefan Bachschuster 18.03.2015 FluiDyna GmbH, Lichtenbergstr. 8, 85748 Garching

More information

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

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

More information

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

A Theory of the Spatial Computational Domain

A Theory of the Spatial Computational Domain A Theory of the Spatial Computational Domain Shaowen Wang 1 and Marc P. Armstrong 2 1 Academic Technologies Research Services and Department of Geography, The University of Iowa Iowa City, IA 52242 Tel:

More information

How Cineca supports IT

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

More information

Efficient Load Balancing using VM Migration by QEMU-KVM

Efficient Load Balancing using VM Migration by QEMU-KVM International Journal of Computer Science and Telecommunications [Volume 5, Issue 8, August 2014] 49 ISSN 2047-3338 Efficient Load Balancing using VM Migration by QEMU-KVM Sharang Telkikar 1, Shreyas Talele

More information

Parallel Algorithm Engineering

Parallel Algorithm Engineering Parallel Algorithm Engineering Kenneth S. Bøgh PhD Fellow Based on slides by Darius Sidlauskas Outline Background Current multicore architectures UMA vs NUMA The openmp framework Examples Software crisis

More information

Optimizing a 3D-FWT code in a cluster of CPUs+GPUs

Optimizing a 3D-FWT code in a cluster of CPUs+GPUs Optimizing a 3D-FWT code in a cluster of CPUs+GPUs Gregorio Bernabé Javier Cuenca Domingo Giménez Universidad de Murcia Scientific Computing and Parallel Programming Group XXIX Simposium Nacional de la

More information

NEXTGEN v5.8 HARDWARE VERIFICATION GUIDE CLIENT HOSTED OR THIRD PARTY SERVERS

NEXTGEN v5.8 HARDWARE VERIFICATION GUIDE CLIENT HOSTED OR THIRD PARTY SERVERS This portion of the survey is for clients who are NOT on TSI Healthcare s ASP and are hosting NG software on their own server. This information must be collected by an IT staff member at your practice.

More information

HPC performance applications on Virtual Clusters

HPC performance applications on Virtual Clusters Panagiotis Kritikakos EPCC, School of Physics & Astronomy, University of Edinburgh, Scotland - UK pkritika@epcc.ed.ac.uk 4 th IC-SCCE, Athens 7 th July 2010 This work investigates the performance of (Java)

More information

Chapter 2 Parallel Architecture, Software And Performance

Chapter 2 Parallel Architecture, Software And Performance Chapter 2 Parallel Architecture, Software And Performance UCSB CS140, T. Yang, 2014 Modified from texbook slides Roadmap Parallel hardware Parallel software Input and output Performance Parallel program

More information

Virtualised MikroTik

Virtualised MikroTik Virtualised MikroTik MikroTik in a Virtualised Hardware Environment Speaker: Tom Smyth CTO Wireless Connect Ltd. Event: MUM Krackow Feb 2008 http://wirelessconnect.eu/ Copyright 2008 1 Objectives Understand

More information

Accelerating Microsoft Exchange Servers with I/O Caching

Accelerating Microsoft Exchange Servers with I/O Caching Accelerating Microsoft Exchange Servers with I/O Caching QLogic FabricCache Caching Technology Designed for High-Performance Microsoft Exchange Servers Key Findings The QLogic FabricCache 10000 Series

More information

Microsoft Windows Server 2003 with Internet Information Services (IIS) 6.0 vs. Linux Competitive Web Server Performance Comparison

Microsoft Windows Server 2003 with Internet Information Services (IIS) 6.0 vs. Linux Competitive Web Server Performance Comparison April 23 11 Aviation Parkway, Suite 4 Morrisville, NC 2756 919-38-28 Fax 919-38-2899 32 B Lakeside Drive Foster City, CA 9444 65-513-8 Fax 65-513-899 www.veritest.com info@veritest.com Microsoft Windows

More information