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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Accelerating Double-Precision FEM Simulations with GPUs This paper by Dominik Göddeke, Robert Strzodka and Stefan Turek describes a preliminary algorithm to achieve double precision results by adding a CPU-based defect correction to iterative linear system solvers on the GPU. We demonstrate that identical accuracy as compared to a full CPU double precision solver is possible while still gaining a factor of 2 in speedup compared to a highly tuned cache-aware CPU reference implementation in double precision.
(Accelerating Double Precision FEM Simulations with GPUs. Dominik Göddeke, Robert Strzodka and Stefan Turek. To appear in Proceedings of ASIM 2005 - 18th Symposium on Simulation Technique.)
Posted: 22 Aug 2005 [GPGPU /Scientific Computing/Numerical Algorithms] # This enthusiastic bit of reporting from APC Magazine provides a wild ride through the nascent field of GPGPU. (Hijacking the GPU, by Dan Warne. APC Magazine. August 11, 2005.)
Posted: 22 Aug 2005 [GPGPU /Press] # |
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