GPGPU |
General-Purpose Computation Using Graphics Hardware
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IntroductionGPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.
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Performance Evaluation of GPUs Using the RapidMind Development Platform This white paper from
RapidMind and
HP
compares the performance of BLAS dense linear algebra operations, the FFT,
and European option pricing on the GPU against highly tuned CPU
implementations on the fastest available CPUs. All of the GPU implementations
were made using the RapidMind Development Platform, which allows the use of
standard C++ programming to create high-performance parallel applications that
run on the GPU. The
full source for the
samples is available in conjunction with a new beta version of the
RapidMind development platform. The results will also be presented as a poster
at SC06.
(http://rapidmind.net/sc06_hp_rapidmind_cpugpu_summary.php)
Posted: 03 Nov 2006 [GPGPU /High-Level Languages] # |
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