A performance optimization framework for compilation of tensor contraction expressions into parallel

  • G. Baumgartner
  • , D. E. Bernholdt
  • , D. Cociorva
  • , R. Harrison
  • , Chi Chung Lam
  • , M. Nooijen
  • , J. Ramanujam
  • , P. Sadayappan

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

    4 Scopus citations

    Abstract

    This paper discusses a program synthesis system to facilitate the generation of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system under development, that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. Several components of the synthesis system are described, focusing on compile-time optimization issues that they address.

    Original languageEnglish
    Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages106
    Number of pages1
    ISBN (Electronic)0769515738, 9780769515731
    DOIs
    StatePublished - 2002
    Event16th International Parallel and Distributed Processing Symposium, IPDPS 2002 - Ft. Lauderdale, United States
    Duration: Apr 15 2002Apr 19 2002

    Publication series

    NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002

    Conference

    Conference16th International Parallel and Distributed Processing Symposium, IPDPS 2002
    Country/TerritoryUnited States
    CityFt. Lauderdale
    Period04/15/0204/19/02

    Funding

    Supported in part by the National Science Foundation through awards CHE-0121676 and EIA-9986052, and the U. S. Department of Energy through award DE-AC05-00OR22725.

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