Abstract
MCSPARSE is a parallel solver based on large grain parallelism, combined with medium and fine grain parallelism. For the multiple CPU Cray-systems, the large grain parallelism can be exploited using Cray's macro-tasking while Cray's micro-tasking facilities can be used to implement the medium grain parallelism of MCSPARSE. The fine grain parallelism can be mapped on the parallel fine grain Cray processor. In this paper, this design together with its performance results on the Cray Y-MP 4/464 are presented. More specifically, we study the impact of an elaborate reordering scheme H ∗ on the resulting efficiency of MCSPARSE.
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