PARALLELIZING AN APPLICATION WITH TIME-INCREASING WORKLOAD USING ADAPTIVE PROCESSOR ALLOCATION
Kuo-Chan Huang, Feng-Jian Wang · Parallel Processing Letters · 2006
This paper presents our experience in parallelizing a Monte Carlo/fluid hybrid simulation of radio frequency glow discharge in plasma physics. The application is a dynamic loosely-synchronous system with time-increasing workload. We adopt adaptive processor allocation to effectively parallelize the time-increasing workload. The results show that adaptive processor allocation has potential to improve performance of parallel applications with time-varying workloads. The methods proposed in this paper can be applied to other dynamic loosely-synchronous applications as well.