Reconsidering algorithms for iterative solvers in the multicore era
by Dan Wallin, Henrik Lof, Erik Hagersten, Sverker Holmgren
International Journal of Computational Science and Engineering (IJCSE), Vol. 4, No. 4, 2009

Abstract: Efficient solution of computational problems require a match between the algorithm and the underlying architecture. New multicore processors feature low intra-chip communication cost and smaller per-thread caches compared to single-core implementations, indicating that data locality issues are more important than communication overheads. We investigate the impact of these changes on parallel multigrid methods. We present a temporally blocked, naturally ordered, smoother implementation that improves the data locality as much as ten times compared with the standard red-black algorithm. We present results of the performance of our new algorithm on an SMP system, an UltraSPARC T1 (Niagara) SMT/CMP, and a simulated CMP processor.

Online publication date: Sun, 08-Nov-2009

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