Using GPUs to improve multigrid solver performance on a cluster
作者： Dominik Goddeke , Robert Strzodka , Jamaludin Mohd Yusof , Patrick McCormick , Hilmar Wobker
DOI: 10.1504/IJCSE.2008.021111
关键词: Parallel computing 、 Domain decomposition methods 、 OpenGL 、 Computational science 、 Multigrid method 、 Software 、 Iterative refinement 、 Hardware acceleration 、 Finite element method 、 Graphics 、 Computer science
摘要: This paper explores the coupling of coarse and fine-grained parallelism for Finite Element (FE) simulations based on efficient parallel multigrid solvers. The focus lies both system performance a minimally invasive integration hardware acceleration into an existing software package, requiring no changes to application code. Because their excellent price ratio, we demonstrate viability our approach by using commodity Graphics Processing Units (GPUs), addressing issue limited precision GPUs applying mixed precision, iterative refinement technique. Our results show that do not compromise any functionality gain speedups two more large problems.
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