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Graphics hardware / GPGPU / Parallel computing / Video cards / Computer architecture / GPU cluster / Stream processing / AMD FireStream / Graphics processing unit / Computing / Concurrent computing / Computer hardware


Exploring weak scalability for FEM calculations on a GPU-enhanced cluster Dominik G¨oddeke a,∗,1 , Robert Strzodka b,2, Jamaludin Mohd-Yusof c, Patrick McCormick c,3, Sven H.M. Buijssen a, Matthias Grajewski a and Ste
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Document Date: 2010-02-28 15:48:18


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City

Hypertransport / Dortmund / /

Company

Mercury Computer Systems / IBM / Los Alamos National Laboratory / Acceleware / GPU / Sony / Lawrence Livermore National Laboratory / Terra Soft Solutions / AMD / NVIDIA / RapidMind / Intel / /

Country

Germany / /

Currency

USD / /

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Event

M&A / /

Facility

University of Dortmund / Los Alamos National Laboratory / University of Illinois / Tokyo Institute of Technology / BLAS library / building GPU / Japan’s Research Institute of Physical / /

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IndustryTerm

performance computing / scientific applications / parallel algorithms / intensive applications / co-processors / heterogeneous computing / heterogeneous systems / visual computing system / e.g. multicore processors / software integration / Data processing capabilities / hardware co-processor / large-scale heterogeneous systems / software development problem / multimedia co-processors / density solutions / above co-processors / Application-specific hardware / purpose hardware / power-aware co-processors / non-graphics applications / vs. application-specific hardware / graphics processors / hardware software solutions / Data intensive applications / lower precision processing elements / parallel non-graphics applications / actual applications / linear systems / co-processor / scientific computing / /

OperatingSystem

Linux / /

Organization

U.S. Department of Energy’s office of Advanced Scientific Computing Research / University of Dortmund / German Science Foundation / National Center for Supercomputing Applications / Max Planck Center for Visual Computing and Communication / Research Institute of Physical and Chemical Research / Los Alamos National Laboratory’s Advanced Computing Lab. / Planck Center Computational and Statistical Sciences Division / University of Illinois / Japan’s Research Institute of Physical and Chemical Research / Mercury’s Cell Accelerator Board / Tokyo Institute of Technology / Stanford / Institute of Applied Mathematics / /

Person

Robert Strzodka / Sven H.M. Buijssen / Stefan Turek / Matthias Grajewski / Jamaludin Mohd-Yusof / Patrick McCormick / /

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Position

ClearSpeed co-processor driver / General / Corresponding author / programmer / /

Product

Quadro FX1400 / PlayStation 3 / QuadroPlex visual computing system / Lattice Boltzmann / PlayStation 2 / PlayStation / R600 chip / R600 / QuadroPlex / /

ProvinceOrState

Illinois / /

Technology

FPGA / power-aware co-processors / Visual Computing / RAM / graphics processors / Cell BE processor / Linux / Cell processors / above co-processors / Accelerator Board / MDGrape-3 chip / multimedia co-processors / System-on-Chip / PCI-X / visual computing system / R600 chip / simulation / Cell BE chip / hardware co-processor / e.g. multicore processors / Gigabit ethernet / /

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