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PMID: 26592383 Published · ppublish English Journal Article

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald.

Journal of chemical theory and computation ·Vol. 9 ·No. 9 ·2013-09-10 ·Pages 3878-88

Salomon-Ferrer R, Götz AW, Poole D, Le Grand S, Walker RC

Abstract

We present an implementation of explicit solvent all atom classical molecular dynamics (MD) within the AMBER program package that runs entirely on CUDA-enabled GPUs. First released publicly in April 2010 as part of version 11 of the AMBER MD package and further improved and optimized over the last two years, this implementation supports the three most widely used statistical mechanical ensembles (NVE, NVT, and NPT), uses particle mesh Ewald (PME) for the long-range electrostatics, and runs entirely on CUDA-enabled NVIDIA graphics processing units (GPUs), providing results that are statistically indistinguishable from the traditional CPU version of the software and with performance that exceeds that achievable by the CPU version of AMBER software running on all conventional CPU-based clusters and supercomputers. We briefly discuss three different precision models developed specifically for this work (SPDP, SPFP, and DPDP) and highlight the technical details of the approach as it extends beyond previously reported work [Götz et al., J. Chem. Theory Comput. 2012, DOI: 10.1021/ct200909j; Le Grand et al., Comp. Phys. Comm. 2013, DOI: 10.1016/j.cpc.2012.09.022].We highlight the substantial improvements in performance that are seen over traditional CPU-only machines and provide validation of our implementation and precision models. We also provide evidence supporting our decision to deprecate the previously described fully single precision (SPSP) model from the latest release of the AMBER software package.

Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Salomon-Ferrer Romelia
San Diego Supercomputer Center, University of California, San Diego , 9500 Gilman Drive MC0505, La Jolla, California 92093, United States.
Götz Andreas W
San Diego Supercomputer Center, University of California, San Diego , 9500 Gilman Drive MC0505, La Jolla, California 92093, United States.
Poole Duncan
NVIDIA Corporation , 2701 San Tomas Expressway, Santa Clara, California 95050, United States.
Le Grand Scott
NVIDIA Corporation , 2701 San Tomas Expressway, Santa Clara, California 95050, United States.
Walker Ross C
San Diego Supercomputer Center, University of California, San Diego , 9500 Gilman Drive MC0505, La Jolla, California 92093, United States. | Department of Chemistry and Biochemistry, University of California, San Diego , 9500 Gilman Drive MC0505, La Jolla, California 92093, United States.
Article Info
Journal
Journal of chemical theory and computation
Abbr.
J Chem Theory Comput
ISSN
1549-9618
Published
2013-09-10
Epub
2013-00-20
Pages
3878-88
Language
English
Region
United States
NLM ID
101232704
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