書誌情報 : 電子情報通信学会技術報告，SC2018-32，2018年11月
DOI: https://ken.ieice.org/ken/paper/20181110B16w/
IoTアプリケーションのGPUオフロード時の並列処理部抽出とデータ転送回数低減手法
DOI:
https://doi.org/10.51094/jxiv.3000キーワード:
オープンIoT、 GPGPU、 データ転送最適化、 遺伝的アルゴリズム、 自動オフロード抄録
私達は，オープンIoTに向け，ユーザが必要なデータを持つデバイスを動的に発見し，利用する，Tacit Computing 技術とその要素技術としてGPU自動オフロード技術を提案している．しかし，既存技術は，並列処理部の最適化を行うだけで性能改善できるアプリケーションは限られていた．そこで，本稿では，より多くのアプリケーションを改善するため，CPUとGPU間のデータ転送回数を低減する手法を提案した．私達は，大規模アプリケーションであるDarknetに対して適用し，CPUに比べて3倍の高速化を確認した．
山登庸次，電子情報通信学会技術報告，SC2018-32，2018年11月
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投稿日時: 2026-02-08 22:41:07 UTC
公開日時: 2026-02-18 05:57:33 UTC
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山登, 庸次
野口, 博史
片岡, 操
磯田, 卓万
出水, 達也
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