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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-100
Number of pages6
ISBN (Electronic)9781509019472
DOIs
Publication statusPublished - Nov 28 2016
Externally publishedYes
Event11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 - Sendai, Japan
Duration: Apr 17 2016Apr 20 2016

Publication series

Name2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016

Other

Other11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
CountryJapan
CitySendai
Period4/17/164/20/16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Electronic, Optical and Magnetic Materials

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    Gutmann, G., Inoue, D., Kakugo, A., & Konagaya, A. (2016). Using a master and slave approach for GPGPU computing to achieve optimal scaling in a 3D real-time simulation. In 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 (pp. 95-100). [7758208] (2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEMS.2016.7758208