多様な移行元言語からの共通的GPU自動オフロード検討

山登, 庸次

doi:10.51094/jxiv.2466

##article.authors##

山登, 庸次 NTT株式会社　ネットワークサービスシステム研究所

DOI:

https://doi.org/10.51094/jxiv.2466

キーワード:

環境適応ソフトウェア、 GPGPU、自動オフロード、進化的計算、多様言語

抄録

近年，少コアCPUだけでなく，GPU，FPGA，メニーコアCPU等のヘテロなデバイスを利用したシステムが増えている．しかし，これらの利用には，CUDA等のハードウェアを意識した技術仕様の理解が必要であり，ハードルは高い．これらの背景から，私は，プログラマーがCPU向けに開発したソースコードを，適用される環境に応じて，自動で変換し，リソース量等を設定して，高い性能で運用可能とする環境適応ソフトウェアのコンセプトを提案している．しかし，従来，オフロードする移行元の言語はC言語のアプリケーションが主流で，複数の言語のアプリケーションに対して共通的にオフロードするための研究は無かった．本稿では，C言語だけでなく，Python，Javaと移行元言語が多様となった場合でも，アプリケーションを自動でオフロードするための共通的方式を検討する．

山登庸次，電子情報通信学会技術報告，SC2020-13，2020年11月

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