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Optimizing a parallel conjugate gradient solver
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DOI：10.1137/S1064827596302205.png)
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Abstract
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We develop a highly optimized parallel conjugate gradient solver. We look at both the single node performance and the parallel efficiency. We show that we can solve a problem with 278,000 degrees of freedom on a 32 node Hitachi SR4300 with a performance of 1.1 GFLOPS. We also look at the effect of the quality of mesh partitioning on the performance of the algorithm.
Keywords:
conjugate gradient
RISC optimization
parallel processing
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2.6
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