## Abstract The original article to which this erratum refers was published in __Journal of Computational Chemistry__J Comput Chem (2005)26(13)1318.
A fast, scalable method for the parallel evaluation of distance-limited pairwise particle interactions
✍ Scribed by David E. Shaw
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 231 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Classical molecular dynamics simulations of biological macromolecules in explicitly modeled solvent typically require the evaluation of interactions between all pairs of atoms separated by no more than some distance R, with more distant interactions handled using some less expensive method. Performing such simulations for periods on the order of a millisecond is likely to require the use of massive parallelism. The extent to which such simulations can be efficiently parallelized, however, has historically been limited by the time required for interprocessor communication. This article introduces a new method for the parallel evaluation of distance‐limited pairwise particle interactions that significantly reduces the amount of data transferred between processors by comparison with traditional methods. Specifically, the amount of data transferred into and out of a given processor scales as O(R^3/2^p^−1/2^), where p is the number of processors, and with constant factors that should yield a substantial performance advantage in practice. © 2005 Wiley Periodicals, Inc. J Comput Chem 26: 1318–1328, 2005
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## Abstract A new algorithm is introduced to perform the multiple time step integration of the equations of motion for a molecular system, based on the splitting of the nonbonded interactions into a series of distance classes. The interactions between particle pairs in successive classes are update