Energy optimization for scientific programs using auto-tuning language ppOpen-AT

Takahiro Katagiri, Cheng Luo, Reiji Suda, Shoichi Hirasawa, Satoshi Ohshima

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

    2 Citations (Scopus)

    Abstract

    In this paper, we demonstrate a new approach for power-consumption optimization using a dedicated Auto-tuning (AT) language. Our approach is based on recently developed technologies: (1) a power measurement application programming interface, (2) an AT mathematical core library. Preliminary performance evaluation enables us to select the best kernel for a real-world scientific program using either the CPU or Graphics Processing Unit, with respect to energy consumption. From the results of the evaluation, we found the performance-changing point in the experimental environment.

    Original languageEnglish
    Title of host publicationProceedings - IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013
    PublisherIEEE Computer Society
    Pages123-128
    Number of pages6
    ISBN (Print)9780768550862
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013 - Tokyo, Japan
    Duration: Sep 26 2013Sep 28 2013

    Publication series

    NameProceedings - IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013

    Other

    Other2013 IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013
    CountryJapan
    CityTokyo
    Period9/26/139/28/13

    All Science Journal Classification (ASJC) codes

    • Hardware and Architecture

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