Skip to main navigation Skip to search Skip to main content

Performance prediction of parallel computation

  • De Ron Liang
  • , Satish K. Tripathi
    • Academia Sinica Taiwan HQ

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

    1 Scopus citations

    Abstract

    Performance analysis of concurrent executions in parallel systems has been recognized as a challenging problem. The aim of this research is to study approximate solution techniques for this problem. We model the structure of the parallel machine and the structure of the jobs executing on such a system. WE investigate rich classes of jobs, which can be expressed by sequential, And-Fork/ And-join, Or-Fork/OR-Join, and probabilistic-Fork. We propose an efficient performance prediction technique for these classes of jobs.

    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Parallel Processing
    PublisherPubl by IEEE
    Pages625-629
    Number of pages5
    ISBN (Print)0818656026
    StatePublished - 1994
    EventProceedings of the 8th International Parallel Processing Symposium - Cancun, Mex
    Duration: Apr 26 1994Apr 29 1994

    Publication series

    NameProceedings of the International Conference on Parallel Processing
    ISSN (Print)0190-3918

    Conference

    ConferenceProceedings of the 8th International Parallel Processing Symposium
    CityCancun, Mex
    Period04/26/9404/29/94

    Fingerprint

    Dive into the research topics of 'Performance prediction of parallel computation'. Together they form a unique fingerprint.

    Cite this