Using a master and slave approach for GPGPU computing to achieve optimal scaling in a 3D real-time simulation

Gregory Gutmann, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya

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

2 被引用数 (Scopus)

抄録

With the ever increasing computational demand of scientific research and data analysis, there has been a migration towards GPU computing. GPU are now the primary source of compute power in most top supercomputers. But in order to make use of the power programs must utilize more than a single GPU. Within this paper we will explain various approaches we have taken to utilize multiple GPU, and attempt to reach close to perfect scaling on a multi-step simulation. The result of this is having developed our simulation to be computed on a master and slave setup of GPU. Our simulation mentioned is being developed for the purpose of simulating microtubule dynamics on a gliding assay.

本文言語英語
ホスト出版物のタイトル2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ95-100
ページ数6
ISBN(電子版)9781509019472
DOI
出版ステータス出版済み - 11 28 2016
外部発表はい
イベント11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 - Sendai, 日本
継続期間: 4 17 20164 20 2016

出版物シリーズ

名前2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016

その他

その他11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
国/地域日本
CitySendai
Period4/17/164/20/16

All Science Journal Classification (ASJC) codes

  • 産業および生産工学
  • 機械工学
  • 材料力学
  • 電子材料、光学材料、および磁性材料

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