'Memory bandwidth' diaporamas de présentation

GPGPU: Distance Fields

GPGPU: Distance Fields. Avneesh Sud and Dinesh Manocha Feb 12, 2007. So Far. Overview Intro to GPGPU using OpenGL Current Architecture (Cell, G80) Programming (CUDA, Compilers) Applications (Vision). Interesting Reading on Parallel Computing.

1.02k views • 64 slides

CUDA Performance Considerations (2 of 2)

CUDA Performance Considerations (2 of 2). Varun Sampath Original Slides by Patrick Cozzi University of Pennsylvania CIS 565 - Spring 2012. Agenda. Instruction Optimizations Mixed Instruction Types Loop Unrolling Thread Granularity Memory Optimizations Shared Memory Bank Conflicts

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High-Performance Computing with NVIDIA Tesla GPUs

High-Performance Computing with NVIDIA Tesla GPUs. Timothy Lanfear, NVIDIA. Why GPU Computing?. Science is Desperate for Throughput. Gigaflops. 1 Exaflop. 1,000,000,000. 1 Petaflop. Bacteria 100s of Chromatophores. 1,000,000. Chromatophore 50M atoms. 1,000. Ribosome 2.7M atoms.

601 views • 43 slides

C hip M ulti P rocessor

EE Department, Technion, Israel November 2004. C hip M ulti P rocessor. VLSI Architectures Seminar - 048879. Evgeny Bolotin. Outline. Intro Single Chip Multiprocessor (IEEE Computer97) IBM Power5 (IEEE Micro 2004) Energy Efficiency (CMP vs. SMT), ICS 2004

436 views • 34 slides

Reinventing Operating Systems for the Manycore Ubiquitous Swarm

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521 views • 33 slides

Performance Modeling of Pipelined Linear Algebra Architectures on FPGAs

Performance Modeling of Pipelined Linear Algebra Architectures on FPGAs. Sam Skalicky Sonia Lopez, Marcin Lukowiak , James Letendre and Matthew Ryan. Outline. Our Motivation to design FPGA model Assumptions made Architecture decomposed into equations Model equations

769 views • 32 slides

PIPELINING AND VECTOR PROCESSING

PIPELINING AND VECTOR PROCESSING. Parallel Processing Pipelining Arithmetic Pipeline Instruction Pipeline RISC Pipeline Vector Processing Array Processors(refer book). Parallel Processing. PARALLEL PROCESSING. Execution of Concurrent Events in the computing

616 views • 29 slides

Using Commonsense Reasoning in Video Games

Using Commonsense Reasoning in Video Games. The Dramatic Improvement in Video Game Realism. There is a problem facing the video game industry: 3D environments are getting dramatically more realistic , but they are not getting any easier for artists to create.

394 views • 25 slides

5th International Conference , HiPEAC 2010

Memory-aware application mapping on coarse-grained reconfigurable arrays. Yongjoo Kim, Jongeun Lee * , Aviral Shrivastava ** , Jonghee Yoon and Yunheung Paek. Software Optimization And Restructuring, Department of Electrical Engineering, Seoul National University, Seoul, South Korea.

311 views • 22 slides

Proposed 2007 Acquisition

Proposed 2007 Acquisition. Don Holmgren LQCD Project Progress Review May 25-26, 2006 Fermilab. Type of Hardware. Cluster versus BlueGene/L discussion

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The TickerTAIP Parallel RAID Architecture

The TickerTAIP Parallel RAID Architecture. P. Cao, S. B. Lim S. Venkatraman, J. Wilkes HP Labs. RAID Architectures. Traditional RAID architectures have A central RAID controller interfacing to the host and processing all I/O requests Disk drives organized in strings

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FAWN: A Fast Array of Wimpy Nodes

Presented by: Aditi Bose & Hyma Chilukuri. FAWN: A Fast Array of Wimpy Nodes. Motivation.

395 views • 15 slides

Summary of switching theory

Summary of switching theory. Balaji Prabhakar. Balaji Prabhakar Stanford University. Outline of Notes. Focus on four types of architecture Output-queued switches (ideal architecture, not much to say) Input-queued crossbars Combined input- and output-queued switches

271 views • 14 slides

Summary of switching theory

Summary of switching theory. Balaji Prabhakar. Balaji Prabhakar Stanford University. Outline of Notes. Focus on four types of architecture Output-queued switches (ideal architecture, not much to say) Input-queued crossbars Combined input- and output-queued switches

243 views • 14 slides

Software Thermal Management of DRAM Memory for Multicore Systems (SIGMETRICS 2008)

Software Thermal Management of DRAM Memory for Multicore Systems (SIGMETRICS 2008). Authors: Jiang Lin, Hongzhong Zheng , Zichun Zhu, Eugene Gorbatov , Howard David, and Zhao Zhang Presenter: Daniel Cole. Overview.

186 views • 10 slides

Carbon Group Manycore Directions

Carbon Group Manycore Directions. Angstrom Meeting 2008/02/28. High-Level Goals. Investigate how to scale computer systems to 1000+ cores on a single chip Architecture OS and System tools (debuggers, compilers). Architectural Improvements. On-chip Networks Topologies

192 views • 8 slides

Bert de Jong High Performance Software Development Molecular Science Computing Facility

Workshop on Parallelization of Coupled-Cluster Methods Panel 1: Parallel efficiency An incomplete list of thoughts. Bert de Jong High Performance Software Development Molecular Science Computing Facility. Overall hardware issues. Computer power per node has increased

169 views • 7 slides

Application Scaling

Application Scaling. Application Scaling. Doug Kothe, ORNL Paul Muzio, CUNY Jonathan Carter, LLBL Bronis de Supinski, LLNL Mike Heroux, Sandia Phil Jones, LANL Brent Leback, The Portland Group Piyush Mehrotra, NASA Ames John Michalakes, NCAR Nir Paikowsky, ScaleMP Galen Shipman, ORNL

151 views • 6 slides