Scalable Molecular Dynamics for Large Biomolecular Systems
Author(s) -
Robert K. Brunner,
J. C. Phillips,
Laxmikant V. Kalé
Publication year - 2000
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2000/750827
Subject(s) - computer science , scalability , benchmark (surveying) , scheme (mathematics) , molecular dynamics , parallel computing , decomposition , speedup , computational science , chemistry , computational chemistry , database , mathematical analysis , mathematics , geodesy , organic chemistry , geography
We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom