Toward Optimizing Particle-Simulation Systems

Authors:
Hai Jiang;Hung-Chi Su;Bin Zhang
Affiliations:
Department of Computer Science, Arkansas State University, Jonesboro, Arkansas 72401, USA;Department of Computer Science, Arkansas State University, Jonesboro, Arkansas 72401, USA;Department of Chemistry & Physics, Arkansas State University, Jonesboro, Arkansas 72401, USA
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

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Abstract

Optimized event-driven particle collision simulation is on demand to study the behavior of systems consisted of moving objects. This paper discusses the design and implementation issues of such simulation systems with various optimizations such as discrete event handling, Lazy Determination Strategy (LDS), and optimal cell number/size selection to overcome the delay caused by dynamical dependencies among collisions. Quantitative analyses and experiment results are provided to illustrate the performance gains acquired from these optimizations.