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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1st Annual UMD GPGPU Programming Contest The University of Maryland are sponsoring a GPGPU programming contest. All entries will be released under version 3 of the GPL at the conclusion of the contest. Contestants are asked to submit code for sparse matrix multiplication. UMD will be evaluating entries on both vector/sparse matrix and sparse matrix/sparse matrix multiplications, using a variety of different inputs. As the contest progresses, UMD will update the LeaderBoard regularly, so contestants will have some idea of where they stand. Contestants are welcome to make as many entries as they want, so submit early and then tweak your designs. Entries can be written in either GLSL or CUDA. Prizes include NVIDIA Quadro FX 5600 GPUs, sponsored by NVIDIA. (http://scriptroute.cs.umd.edu/gpucompete/)
Posted: 28 May 2008 [GPGPU /Contests] # |
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