'Cpu gpu' diaporamas de présentation

GPU Programming: eScience or Engineering ?

Commit /. GPU Programming: eScience or Engineering ?. msterdam. Vrije Universiteit. Henri Bal. Graphics Processing Units. GPUs and other accelerators take top-500 by storm Many application success stories But GPUs are very difficult to program and optimize.

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Windows Vista: Developing Power-Aware Applications

Windows Vista: Developing Power-Aware Applications. Geralyn Miller Program Manager Windows Laptop PC Microsoft Corporation gemiller@microsoft.com. Pat Stemen FUN319 Program Manager Core Platform Architecture Microsoft Corporation patste@microsoft.com. Agenda.

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Invited Talk 12:

ICIEV 2014 Dhaka University, Bangladesh. Invited Talk 12: “Discovering Energy-Efficient High-Performance Computing Systems? WSU CAPPLab may help!”. Presented by: Dr. Abu Asaduzzaman Assistant Professor in Computer Architecture and Director of CAPPLab

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An Incremental Weighted Least Squares Approach To Surface Light Fields

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Qilin: Exploiting Parallelism on Heterogeneous Multiprocessors with Adaptive Mapping

Qilin: Exploiting Parallelism on Heterogeneous Multiprocessors with Adaptive Mapping. Chi-Keung (CK) Luk Technology Pathfinding and Innovation Software Solutions and Services Group Intel. Sunpyo Hong Electrical and Computer Engineering Georgia Institute of Technology. Hyesoon Kim

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Sidecar : Building Programmable Datacenter Networks without Programmable Switches

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An Asymmetric Distributed Shared Memory Model for Heterogeneous Parallel Systems

An Asymmetric Distributed Shared Memory Model for Heterogeneous Parallel Systems. Isaac Gelado , Javier Cabezas . John Stone, Sanjay Patel, Nacho Navarro and Wen-mei Hwu. 1. Introduction: Heterogeneous Computing. CPU. ACC. Existent programming models are DMA based: Explicit memory copy

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A Dynamic Scheduling Framework for Emerging Heterogeneous Systems Vignesh Ravi and Gagan Agrawal

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Event Reconstruction in STS

Event Reconstruction in STS. I. Kisel GSI. CBM-RF-JINR Meeting Dubna, May 21, 2009. Many-core HPC. CPU Intel: XX-cores. Gaming STI: Cell. GP CPU Intel: Larrabee. ?. GP GPU Nvidia: Tesla. CPU/GPU AMD: Fusion. ?. FPGA Xilinx: Virtex. ?. On-line event selection

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Graphics acceleration

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CS295: Modern Systems What Are FPGAs and Why Should You Care

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An MPI Approach to High-Performance Computing with FPGAs

An MPI Approach to High-Performance Computing with FPGAs. Chris Madill Molecular Structure and Function, Hospital for Sick Children Department of Biochemistry, University of Toronto Supervised by Dr. Paul Chow Electrical and Computer Engineering, University of Toronto.

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GPU Programming using BU Shared Computing Cluster

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GPGPU introduction

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Linux Graphics

Linux Graphics. ???. X ??. ???????. ???? ???? 2D ?? 3D ?? ????. CPU. ??. 2D blit. 3D. ??. ????. ??????. VGA HDMI DisplayPort LVDS TV out DVI EDID. ModeSetting. ?????? ????? page flipping KMS ??. ????. ????? Frame Buffer ?? (texture) State GPU ?????? (shader) ??.

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Uncompressing a Projection Index with CUDA

Uncompressing a Projection Index with CUDA. Eduardo Gutarra Velez. Outline. Brief Review of the Problem. Algorithm Design Old Algorithm New Algorithm Testing Methodology Results and Benchmarks Problems Found Conclusions Future work. Brief Review of the Problem.

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L1 Event Reconstruction in the STS

L1 Event Reconstruction in the STS. I. Kisel GSI / KIP. CBM Collaboration Meeting Dubna, October 16, 2008. Many-core HPC. Gaming STI: Cell. ?. ?. GP GPU Nvidia: Tesla. ?. GP CPU Intel: Larrabee. CPU/GPU AMD: Fusion. High performance computing (HPC)

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Status of the L1 STS Tracking

Status of the L1 STS Tracking. I. Kisel GSI / KIP. CBM Collaboration Meeting GSI, March 12, 2009. L1 CA Track Finder Efficiency. Fluctuated magnetic field? Too large STS acceptance? Too large distance between STS stations?. I. Rostovtseva. Many-core HPC. ?. GP CPU Intel: Larrabee.

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First Level Event Selection Package of the CBM Experiment

First Level Event Selection Package of the CBM Experiment. S. Gorbunov, I. Kisel , I. Kulakov, I. Rostovtseva, I. Vassiliev (for the CBM Collaboration ). CHEP'09 Prague, March 26, 2009. Tracking Challenge in CBM (FAIR/GSI, Germany). * Fixed-target heavy-ion experiment

270 views • 12 slides