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Automatic Performance Optimization in ViennaCL for GPUs Karl Rupp Josef Weinbub
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Document Date: 2012-01-10 08:17:52

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City

Boston / /

Company

GPU / Solving Linear Systems / Non-Symmetric Linear Systems / Solving Nonsymmetric Linear Systems / SIAM Journal / Addison-Wesley Longman Publishing Co. Inc. / NVIDIA / Intel / Karl Rupp Josef Weinbub Florian Rudolf CD Laboratory / /

Country

United States / /

Currency

USD / /

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Facility

Vienna Computing Library / Vienna University of Technology / library PETSc / Wien Institute / GPUs Karl Rupp Josef Weinbub Florian Rudolf CD Laboratory / Standard Template Library / /

IndustryTerm

performance computing / respective computing device / symmetric positive definite systems / purpose scientific computing / inner products / low-end hardware / similar hardware / sparse matrix-vector products / weaker hardware / namely sparse matrix vector products / present device / vector product / target hardware / indefinite systems / particular target device / parallel computing architectures / linear algebra algorithms / scientific computing / memory management / low level hardware / /

OperatingSystem

Linux / /

Organization

A-1040 Wien Institute for Microelectronics Gußhausstraße / European Research Council / U.S. Securities and Exchange Commission / Society for Industrial and Applied Mathematics / Graduate School / National Bureau of Standards / Vienna University of Technology / /

Person

Siegfried Selberherr / I. Farmer / P. Schr / J. Bolz / E. Grinspun / Peter Lagger / /

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Position

Graphics processors General / driver / scheduler / Farmer / /

ProgrammingLanguage

XPath / XML / C++ / /

PublishedMedium

COMPUTER GRAPHICS / /

Technology

alpha / XML / Graphics processors / Generalized Minimal Residual Algorithm / Linux / API / shared memory / linear algebra algorithms / Simulation / /

URL

http /

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