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
Link To Document :
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