Performance Evaluation of Local Schur Complement Approach in Domain Decomposition Method

DOI Open Access

Bibliographic Information

Other Title
  • 領域分割法におけるローカルSchur補元アプローチの性能評価

Description

To improve the total performance of numerical simulation on PC clusters or supercomputers, not onl parallel efficiency, but also performance per computing node is becoming more important than ever before. Here, we propose an new approach to optimize the performance of a finite element code based on domain-decomposition method (DDM) on the current multi-core architecture. We propose LSC (Local Schur Complement) approach, where the Schur complement matrix is explicitly computed. We demonstrate that our approach is not only more efficient in memory usage but also faster than existing approaches, which depend heavily on the forward- and back-substitution stage of a direct solver, with our performance prediction models and also numerical examples on K Computer and Intel architecture.

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Details 詳細情報について

  • CRID
    1390282679447858944
  • NII Article ID
    130005127683
  • DOI
    10.11421/jsces.2016.20160006
  • ISSN
    13478826
    13449443
  • Text Lang
    ja
  • Article Type
    journal article
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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