Proceedings ArticleDOI
Scalable algorithms for molecular dynamics simulations on commodity clusters
Kevin J. Bowers,Edmond Chow,Huafeng Xu,Ron O. Dror,Michael P. Eastwood,Brent A. Gregersen,John L. Klepeis,István Kolossváry,Mark A. Moraes,Federico D. Sacerdoti,John K. Salmon,Yibing Shan,David E. Shaw +12 more
- pp 84
TLDR
This work presents several new algorithms and implementation techniques that significantly accelerate parallel MD simulations compared with current state-of-the-art codes, including a novel parallel decomposition method and message-passing techniques that reduce communication requirements, as well as novel communication primitives that further reduce communication time.Abstract:
Although molecular dynamics (MD) simulations of biomolecular systems often run for days to months, many events of great scientific interest and pharmaceutical relevance occur on long time scales that remain beyond reach. We present several new algorithms and implementation techniques that significantly accelerate parallel MD simulations compared with current stateof- the-art codes. These include a novel parallel decomposition method and message-passing techniques that reduce communication requirements, as well as novel communication primitives that further reduce communication time. We have also developed numerical techniques that maintain high accuracy while using single precision computation in order to exploit processor-level vector instructions. These methods are embodied in a newly developed MD code called Desmond that achieves unprecedented simulation throughput and parallel scalability on commodity clusters. Our results suggest that Desmond?s parallel performance substantially surpasses that of any previously described code. For example, on a standard benchmark, Desmond?s performance on a conventional Opteron cluster with 2K processors slightly exceeded the reported performance of IBM?s Blue Gene/L machine with 32K processors running its Blue Matter MD code.read more
Citations
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Fast parallel algorithms for short-range molecular dynamics
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Journal ArticleDOI
Gromacs 4.5
Sander Pronk,Szilárd Páll,Szilárd Páll,Roland Schulz,Roland Schulz,Per Larsson,Pär Bjelkmar,Pär Bjelkmar,Rossen Apostolov,Rossen Apostolov,Michael R. Shirts,Jeremy C. Smith,Jeremy C. Smith,Peter M. Kasson,David van der Spoel,David van der Spoel,Berk Hess,Berk Hess,Erik Lindahl,Erik Lindahl,Erik Lindahl +20 more
TL;DR: A range of new simulation algorithms and features developed during the past 4 years are presented, leading up to the GROMACS 4.5 software package, which provides extremely high performance and cost efficiency for high-throughput as well as massively parallel simulations.
Journal ArticleDOI
Improved side‐chain torsion potentials for the Amber ff99SB protein force field
Kresten Lindorff-Larsen,Stefano Piana,Kim Palmo,Paul Maragakis,John L. Klepeis,Ron O. Dror,David E. Shaw,David E. Shaw +7 more
TL;DR: A new force field, which is termed Amber ff99SB‐ILDN, exhibits considerably better agreement with the NMR data and is validated against a large set of experimental NMR measurements that directly probe side‐chain conformations.
References
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Journal ArticleDOI
Fast parallel algorithms for short-range molecular dynamics
TL;DR: In this article, three parallel algorithms for classical molecular dynamics are presented, which can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors.
Fast parallel algorithms for short-range molecular dynamics
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Journal ArticleDOI
Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems
TL;DR: An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented based on interpolation of the reciprocal space Ewald sums and evaluation of the resulting convolutions using fast Fourier transforms.
Journal ArticleDOI
CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Bernard R. Brooks,Robert E. Bruccoleri,Barry D. Olafson,David J. States,S. Swaminathan,Martin Karplus +5 more
TL;DR: The CHARMM (Chemistry at Harvard Macromolecular Mechanics) as discussed by the authors is a computer program that uses empirical energy functions to model macromolescular systems, and it can read or model build structures, energy minimize them by first- or second-derivative techniques, perform a normal mode or molecular dynamics simulation, and analyze the structural, equilibrium, and dynamic properties determined in these calculations.