Parallel multistage preconditioners based on a hierarchical graph decomposition for SMP cluster architectures with a hybrid parallel programming model

  • Authors:
  • Kengo Nakajima

  • Affiliations:
  • Department of Earth and Planetary Science, The University of Tokyo, Tokyo, Japan

  • Venue:
  • HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
  • Year:
  • 2007

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Abstract

In this work, the Parallel Hierarchical Interface Decomposition Algorithm (PHIDAL) and a hybrid parallel programming model were applied to finite-element based simulations of linear elasticity problems in media with heterogeneous material properties using parallel preconditioned iterative solvers. Reverse Cuthill-McKee reordering with cyclic multicoloring (CM-RCM) was applied for parallelism on each SMP node through OpenMP. The developed code has been tested on the IBM p5-575 and the TSUBAME Grid Cluster using up to 512 cores. Preconditioners based on PHIDAL provide a superior scalable performance and robustness on both architectures in comparison to conventional block Jacobi-type localized preconditioners.