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

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

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    2 被引用数 (Scopus)

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトルProceedings - IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013
    出版社IEEE Computer Society
    ページ123-128
    ページ数6
    ISBN(印刷版)9780768550862
    DOI
    出版ステータス出版済み - 2013
    イベント2013 IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013 - Tokyo, 日本
    継続期間: 9 26 20139 28 2013

    出版物シリーズ

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

    その他

    その他2013 IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013
    Country日本
    CityTokyo
    Period9/26/139/28/13

    All Science Journal Classification (ASJC) codes

    • Hardware and Architecture

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