DocumentCode :
3078495
Title :
A Method to Accelerate GROMACS in Offload Mode on Tianhe-2 Supercomputer
Author :
Haiqiang Wang ; Shaoliang Peng ; Xiaoqian Zhu ; Chengkun Wu ; Xin Liu ; Qian Chen ; Weiliang Zhu ; Jinan Wang ; Huaiyu Yang
Author_Institution :
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2015
fDate :
4-7 May 2015
Firstpage :
781
Lastpage :
784
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.
Keywords :
coprocessors; molecular dynamics method; multiprocessing systems; parallel machines; pharmaceutical technology; CPU; GROMACS; Intel Xeon Phi many integrated core; MD; MIC; N-body simulation; Tianhe-2 supercomputer; computer simulation; coprocessors; molecular dynamics; offload mode; pharmaceutical industry; Acceleration; Arrays; Coprocessors; Force; Industries; Microwave integrated circuits; Supercomputers; GROMACS; MIC; Tianhe-2; offload;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CCGrid.2015.65
Filename :
7152556
Link To Document :
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