A method to accelerate GROMACS in offload mode on tianhe-2 supercomputer

Haiqiang Wang, Shaoliang Peng, Xiaoqian Zhu, Chengkun Wu, Xin Liu, Qian Chen, Weiliang Zhu, Jinan Wang, Huaiyu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Molecular Dynamics(MD) is a computer simulation of physical movements of atoms and molecules in the context of N-body simulation, and is an important part of pharmaceutical industry. GROMACS, which is the most popular software for MD, could not perform satisfactorily with large-scale for the limit of computing resources. In this paper, we proposed a method to accelerate GROMACS with offload mode. In this mode, GROMACS could be arranged efficiently with CPU and the Intel® Xeon PhiTM Many Integrated Core (MIC) coprocessors at the same time, making the full use of Tianhe-2 supercomputer resources. To promote the efficiency of GROMACS, we proposed a series of methods, such as synchronization, data reassemble and array reuse. As we known, we are the first to accelerate GROMACS in offload mode on MIC.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages781-784
Number of pages4
ISBN (Electronic)9781479980062
DOIs
StatePublished - 7 Jul 2015
Externally publishedYes
Event15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015 - Shenzhen, China
Duration: 4 May 20157 May 2015

Publication series

NameProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015

Conference

Conference15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
Country/TerritoryChina
CityShenzhen
Period4/05/157/05/15

Keywords

  • GROMACS
  • MIC
  • Offload
  • Tianhe-2

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