Utilization and expansion of ppOpen-AT for OpenACC

Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    For application programmers, reducing efforts for optimizing programs is an important issue. Our solution of this issue is an auto-tuning (AT) technique. We are developing an AT language named ppOpen-AT. We have shown that this language is useful for multi-and many-core parallel programming. Today, OpenACC attracts attention as an easy and useful graphics processing unit (GPU) programming environment. While OpenACC is one possible parallel programming environment, users have to spend time and energy in order to optimize OpenACC programs. In this study, we investigate the usability of ppOpen-AT for OpenACC programs and propose to expand ppOpen-AT for further optimization of OpenACC.

    Original languageEnglish
    Title of host publicationProceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1496-1505
    Number of pages10
    ISBN (Electronic)9781509021406
    DOIs
    Publication statusPublished - Jul 18 2016
    Event30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016 - Chicago, United States
    Duration: May 23 2016May 27 2016

    Publication series

    NameProceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016

    Other

    Other30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016
    CountryUnited States
    CityChicago
    Period5/23/165/27/16

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications

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