DocumentCode
3237844
Title
Scalable Molecular Dynamics for Large Biomolecular Systems
Author
Brunner, Robert K. ; Phillips, James C. ; Kalé, Laxmikant V.
Author_Institution
University of Illinois at Urbana-Champaign
fYear
2000
fDate
04-10 Nov. 2000
Firstpage
45
Lastpage
45
Abstract
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.
Keywords
Biophysics; Computational modeling; Computer science; Computer simulation; Concurrent computing; Diseases; Force measurement; Load management; Proteins; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Supercomputing, ACM/IEEE 2000 Conference
ISSN
1063-9535
Print_ISBN
0-7803-9802-5
Type
conf
DOI
10.1109/SC.2000.10038
Filename
1592758
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