An application framework for migrating GPGPU Cloud applications

Sho Yuhara, Yusuke Suzuki, Kenji Kono

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Graphics Processing Units (GPUS) have become a common computing resource for general-purpose computing (GPGPU). GPU usage has also spread to high-Throughput server applications, taking advantage of its massively parallel nature and wide availability at various cloud platforms. Although various methods currently exist to share a single GPU among multiple applications, migrating GPGPU server applications across different machines is challenging due to lack of hardware mechanisms, such as programmable preemption and access to GPU context. This paper presents an event-driven framework for GPGPU server applications, which enables us to implement a software based approach for migration which overcomes current hardware limitations.

本文言語English
ホスト出版物のタイトルProceedings - IEEE 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018
出版社IEEE Computer Society
ページ62-66
ページ数5
ISBN(電子版)9781538678992
DOI
出版ステータスPublished - 2018 12 26
イベント10th International Conference on Cloud Computing Technology and Science, CloudCom 2018 - Nicosia, Cyprus
継続期間: 2018 12 102018 12 13

出版物シリーズ

名前Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
2018-December
ISSN(印刷版)2330-2194
ISSN(電子版)2330-2186

Other

Other10th International Conference on Cloud Computing Technology and Science, CloudCom 2018
国/地域Cyprus
CityNicosia
Period18/12/1018/12/13

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ ネットワークおよび通信
  • ソフトウェア
  • 理論的コンピュータサイエンス

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