4.7 Article

Efficient GPU-accelerated molecular dynamics simulation of solid covalent crystals

Journal

COMPUTER PHYSICS COMMUNICATIONS
Volume 184, Issue 5, Pages 1364-1371

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2013.01.001

Keywords

Graphics processing unit; Molecular dynamics simulation; Many-body; Covalent crystal; Reordering; Performance

Funding

  1. Ministry of Finance [ZDYZ2008-2]
  2. Ministry of Science and Technology [2008BAF33801, 2007DFA41320]
  3. National Natural Science Foundation of China [20821092, 21106147]
  4. CAS [KGCX2-YW-124, KGCX2-YW-222, KGCX2-YW-362]
  5. State Key Laboratory of Multiphase Complex Systems [MPCS-2012-A-09]

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Different from previous molecular dynamics (MD) simulation with pair potentials and many-body potentials, an efficient and highly scalable algorithm for GPU-accelerated MD simulation of solid covalent crystals is described in detail in this paper using sophisticated many-body potentials, such as Tersoff potentials for silicon crystals. The algorithm has effectively taken advantage of the reordering and sorting of atoms and the hierarchical memory of a GPU. The final results indicate that, about 30.5% of the peak performance of a single GPU can be achieved with a speedup of about 650 over a contemporary CPU core, and more than 15 million atoms can be processed by a single GPU with a speed of around 2 ns/day. Furthermore, the proposed algorithm is scalable and transferable, which can be applied to other many-body interactions and related large-scale parallel computation. (C) 2013 Elsevier B.V. All rights reserved.

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