Experiments with parallelizing tribology simulations

V. Chaudhary, W. L. Hase, H. Jiang, L. Sun, D. Thaker

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle. For different situations, they can exhibit totally different performance gains. This paper compares OpenMP, MPI, and Strings for parallelizing a complicated tribology problem. The problem size and computing infrastructure is changed to assess the impact of this on various parallelization methods. All of them exhibit good performance improvements and it exhibits the necessity and importance of applying parallelization in this field.

Original languageEnglish
Pages (from-to)323-343
Number of pages21
JournalJournal of Supercomputing
Volume28
Issue number3
DOIs
StatePublished - Jun 2004

Keywords

  • Distributed shared memory
  • MPI
  • Molecular dynamics
  • OpenMP

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