'Heterogeneous computing' presentation slideshows

Scaling in a Heterogeneous Environment with GPUs: GPU Architecture, Concepts, and Strategies

Scaling in a Heterogeneous Environment with GPUs: GPU Architecture, Concepts, and Strategies. John E. Stone Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign http://www.ks.uiuc.edu/~johns/

798 views • 79 slides

Message-Passing Environments & Systems

Message-Passing Environments & Systems. Origins of Cluster Computing or Commodity Supercomputing: Limitations of Homogeneous Supercomputing Systems Heterogeneous Computing (HC) Broad Issues in Heterogeneous Computing: Analytical Benchmarking Code-type Profiling

837 views • 70 slides

Message-Passing Environments & Systems

Message-Passing Environments & Systems. Origins of Cluster Computing or Commodity Supercomputing: Limitations of Homogeneous Supercomputing Systems Heterogeneous Computing (HC) Broad Issues in Heterogeneous Computing: Analytical Benchmarking Code-type Profiling

786 views • 70 slides

Heterogeneous Computing (HC) & Micro-Heterogeneous Computing (MHC)

Heterogeneous Computing (HC) & Micro-Heterogeneous Computing (MHC). High Performance Computing (HPC) Trends Steps in Creating a Parallel Program Factors Affecting Parallel System Performance Scalable Distributed Memory Processors: MPPs & Clusters

652 views • 65 slides

Computer Engineering Department

Efficient Exploitation of Fine-Grained Parallelism using a microHeterogeneous Computing Environment. Presented By William Scheidel September 19 th , 2002. Computer Engineering Department. Agenda. Objective Heterogeneous Computing Background microHeterogeneous Computing Architecture

732 views • 53 slides

Introduction to Heterogeneous System Architecture (HSA)

Introduction to Heterogeneous System Architecture (HSA). ??? ?? System Software Laboratory Department of Computer science National Tsing Hua University. Agenda. Computing Trend HSA Challenges and Opportinuty HSAemu. Computing trend. Computing (1). Single Processor

1.3k views • 45 slides

UAB

501 views • 38 slides

Na tional Re search G rid I nitiative (NAREGI)

Na tional Re search G rid I nitiative (NAREGI). Project Leader, NAREGI Project Professor, National Institute of Informatics Fellow, Fujitsu Laboratories Limited Kenichi Miura, Ph.D. December 9, 2003. Information Technology Based Lab (ITBL ? Super-SINET(NII)

396 views • 27 slides

Faster, Cheaper, Better: Biomolecular Simulation with NAMD, VMD, and CUDA

Faster, Cheaper, Better: Biomolecular Simulation with NAMD, VMD, and CUDA. John Stone Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign http://www.ks.uiuc.edu/Research/gpu/ Supercomputing 2010

414 views • 25 slides

John E. Stone , Ryan McGreevy, Barry Isralewitz, and Klaus Schulten

GPU-Accelerated Analysis and Visualization of Large Structures Solved by Molecular Dynamics Flexible Fitting. John E. Stone , Ryan McGreevy, Barry Isralewitz, and Klaus Schulten Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology

352 views • 22 slides

CPRE 583 Reconfigurable Computing Lecture 8: Wed 9/16/2011 (A Brief History and Applications)

CPRE 583 Reconfigurable Computing Lecture 8: Wed 9/16/2011 (A Brief History and Applications). Instructor: Dr. Phillip Jones (phjones@iastate.edu) Reconfigurable Computing Laboratory Iowa State University Ames, Iowa, USA. http://class.ee.iastate.edu/cpre583/. Announcements/Reminders.

305 views • 18 slides

Seven Minute Madness: Heterogeneous Computing

Seven Minute Madness: Heterogeneous Computing. Dr. Jason D. Bakos. Computer Architecture Trends. Goal: extract maximum performance from serial code Instruction re-ordering Speculative execution Multiple issue Branch prediction Large, multi-level caches

173 views • 16 slides

L16: Libraries, OpenCL and OpenAcc

L16: Libraries, OpenCL and OpenAcc. Administrative. Remaining Lectures Monday, April 15: CUDA 5 Features (small exercise) Wednesday, April 17: Parallel Architectures and Getting to Exascale Final projects Poster session, April 24 (dry run April 22) Final report, May 1.

285 views • 14 slides

Computing with Accelerators: Overview ITS Research Computing Mark Reed

Computing with Accelerators: Overview ITS Research Computing Mark Reed . Objectives. Learn why computing with accelerators is important Understand accelerator hardware Learn what types of problems are suitable for accelerators Survey the programming models available

116 views • 0 slides