Parallel iterative solvers for unstructured grids using an OpenMP/MPI hybrid programming model for the geofem platform on SMP cluster architectures

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Abstract

An efficient parallel iterative method for unstructured grids developed by the authors for SMP cluster architectures on the GeoFEM platform is presented. The method is based on a 3-level hybrid parallel programming model, including message passing for inter-SMP node communication, loop directives by OpenMP for intra-SMP node parallelization and vectorization for each processing element (PE). Simple 3D elastic linear problems with more than 8×108 DOF have been solved by 3x3 block ICCG(0) with additive Schwarz domain decomposition and PDJDS/CM-RCM reordering on 128 SMP nodes of Hitachi SR8000/MPP parallel computer, achieving performance of 335.2 GFLOPS. The PDJDS/CM-RCM reordering method provides excellent vector and parallel performance in SMP nodes. © 2002 Springer Berlin Heidelberg.

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Nakajima, K., & Okuda, H. (2002). Parallel iterative solvers for unstructured grids using an OpenMP/MPI hybrid programming model for the geofem platform on SMP cluster architectures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2327 LNCS, pp. 437–448). https://doi.org/10.1007/3-540-47847-7_40

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