Experiments with parallelizing a tribology application

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle. Different applications can exhibit totally different performance gains depending on the parallelization method used. The paper compares OpenMP, MPI, and Strings (a distributed shared memory) for parallelizing a complicated tribology problem. The problem size and computing infrastructure are changed and their impacts on the parallelization methods are studied. All of the methods studied exhibit good performance improvements. The paper exhibits the benefits that are the result of applying parallelization techniques to applications in this field.

Original languageEnglish
Title of host publicationProceedings - International Conference on Parallel Processing Workshops, ICPPW 2002
EditorsStephan Olariu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)0769516807
StatePublished - 2002
EventInternational Conference on Parallel Processing Workshops, ICPPW 2002 - Vancouver, Canada
Duration: Aug 18 2002Aug 21 2002

Publication series

NameProceedings of the International Conference on Parallel Processing Workshops
ISSN (Print)1530-2016


ConferenceInternational Conference on Parallel Processing Workshops, ICPPW 2002


  • Distributed Shared Memory
  • MPI
  • Molecular Dynamics
  • OpenMP


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