書誌情報 : The 8th International Conference on Information and Education Technology (ICIET 2020), pp.242-246, May 2020.
DOI: https://doi.org/10.1145/3395245.3396200
GPU自動オフロード技術の改善提案
DOI:
https://doi.org/10.51094/jxiv.3105キーワード:
環境適応ソフトウェア、 汎用GPU、 自動オフロード、 性能、 進化計算抄録
近年，教育分野を含め，GPU（Graphics Processing Unit）やFPGA（Field-Programmable Gate Array）といったCPU（Central Processing Unit）以外のハードウェアの活用が増加している．しかし，CPU以外の異機種ハードウェアを利用する場合，CUDA（Compute Unified Device Architecture）やHDL（Hardware Description Language）といった技術スキルの障壁が高い．そこで，筆者はこれまで，一度記述したコードを配置するハードウェアに合わせて自動的に変換・構成し，高性能動作させる環境適応型ソフトウェアを提案してきた．これまでGPUやFPGAへのオフロードの一部は自動化されていた．本稿では，従来の自動GPUオフロード手法を改良し，適用可能なソフトウェアを拡張し，さらなる性能向上を図る．そして，提案手法の有効性を複数のアプリケーションで評価する．
山登庸次，"GPU自動オフロード技術の改善提案," The 8th International Conference on Information and Education Technology (ICIET 2020), 2020年5月
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投稿日時: 2026-02-16 18:52:15 UTC
公開日時: 2026-02-18 06:01:10 UTC
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山登, 庸次
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