499
Views
36
CrossRef citations to date
0
Altmetric
Molecular Physics in China

Employing multi-GPU power for molecular dynamics simulation: an extension of GALAMOST

, , , , , , & show all
Pages 1065-1077 | Received 24 Sep 2017, Accepted 25 Jan 2018, Published online: 12 Feb 2018
 

ABSTRACT

We describe the algorithm of employing multi-GPU power on the basis of Message Passing Interface (MPI) domain decomposition in a molecular dynamics code, GALAMOST, which is designed for the coarse-grained simulation of soft matters. The code of multi-GPU version is developed based on our previous single-GPU version. In multi-GPU runs, one GPU takes charge of one domain and runs single-GPU code path. The communication between neighbouring domains takes a similar algorithm of CPU-based code of LAMMPS, but is optimised specifically for GPUs. We employ a memory-saving design which can enlarge maximum system size at the same device condition. An optimisation algorithm is employed to prolong the update period of neighbour list. We demonstrate good performance of multi-GPU runs on the simulation of Lennard–Jones liquid, dissipative particle dynamics liquid, polymer and nanoparticle composite, and two-patch particles on workstation. A good scaling of many nodes on cluster for two-patch particles is presented.

Acknowledgments

Zhong-Yuan Lu thanks to the support of JLU-STIRT program at Jilin University. You-Liang Zhu gratefully acknowledges the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research. In this research, we have used the TianHe-1(A) supercomputer at National Supercomputer Center in Tianjin, TianHe-2 supercomputer at National Supercomputer Center in Guangzhou for program debugging, and the high-performance cluster at Dalian Institute of Chemical Physics, Chinese Academy of Sciences for performance benchmarking. We thank Guo-Hui Li and Yue-Bin Zhang for their help on the tests at the cluster of Dalian Institute of Chemical Physics, Chinese Academy of Sciences.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work is supported by the National Natural Science Foundation of China [21404102], [21774129], [21534004], [21474111], [21674116].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 886.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.