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New ways to boost molecular dynamics simulations

We describe a set of algorithms that allow to simulate dihydrofolate reductase (DHFR, a common benchmark) with the AMBER all‐atom force field at 160 nanoseconds/day on a single Intel Core i7 5960X CPU (no graphics processing unit (GPU), 23,786 atoms, particle mesh Ewald (PME), 8.0 Å cutoff, correct...

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Detalles Bibliográficos
Autores principales: Krieger, Elmar, Vriend, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680170/
https://www.ncbi.nlm.nih.gov/pubmed/25824339
http://dx.doi.org/10.1002/jcc.23899
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author Krieger, Elmar
Vriend, Gert
author_facet Krieger, Elmar
Vriend, Gert
author_sort Krieger, Elmar
collection PubMed
description We describe a set of algorithms that allow to simulate dihydrofolate reductase (DHFR, a common benchmark) with the AMBER all‐atom force field at 160 nanoseconds/day on a single Intel Core i7 5960X CPU (no graphics processing unit (GPU), 23,786 atoms, particle mesh Ewald (PME), 8.0 Å cutoff, correct atom masses, reproducible trajectory, CPU with 3.6 GHz, no turbo boost, 8 AVX registers). The new features include a mixed multiple time‐step algorithm (reaching 5 fs), a tuned version of LINCS to constrain bond angles, the fusion of pair list creation and force calculation, pressure coupling with a “densostat,” and exploitation of new CPU instruction sets like AVX2. The impact of Intel's new transactional memory, atomic instructions, and sloppy pair lists is also analyzed. The algorithms map well to GPUs and can automatically handle most Protein Data Bank (PDB) files including ligands. An implementation is available as part of the YASARA molecular modeling and simulation program from www.YASARA.org. © 2015 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc.
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spelling pubmed-66801702019-08-09 New ways to boost molecular dynamics simulations Krieger, Elmar Vriend, Gert J Comput Chem Full Papers We describe a set of algorithms that allow to simulate dihydrofolate reductase (DHFR, a common benchmark) with the AMBER all‐atom force field at 160 nanoseconds/day on a single Intel Core i7 5960X CPU (no graphics processing unit (GPU), 23,786 atoms, particle mesh Ewald (PME), 8.0 Å cutoff, correct atom masses, reproducible trajectory, CPU with 3.6 GHz, no turbo boost, 8 AVX registers). The new features include a mixed multiple time‐step algorithm (reaching 5 fs), a tuned version of LINCS to constrain bond angles, the fusion of pair list creation and force calculation, pressure coupling with a “densostat,” and exploitation of new CPU instruction sets like AVX2. The impact of Intel's new transactional memory, atomic instructions, and sloppy pair lists is also analyzed. The algorithms map well to GPUs and can automatically handle most Protein Data Bank (PDB) files including ligands. An implementation is available as part of the YASARA molecular modeling and simulation program from www.YASARA.org. © 2015 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2015-03-30 2015-05-15 /pmc/articles/PMC6680170/ /pubmed/25824339 http://dx.doi.org/10.1002/jcc.23899 Text en © 2015 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Krieger, Elmar
Vriend, Gert
New ways to boost molecular dynamics simulations
title New ways to boost molecular dynamics simulations
title_full New ways to boost molecular dynamics simulations
title_fullStr New ways to boost molecular dynamics simulations
title_full_unstemmed New ways to boost molecular dynamics simulations
title_short New ways to boost molecular dynamics simulations
title_sort new ways to boost molecular dynamics simulations
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680170/
https://www.ncbi.nlm.nih.gov/pubmed/25824339
http://dx.doi.org/10.1002/jcc.23899
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