Paper Info
Title
Parallelizing An Application With Time-Increasing Workload Using Adaptive Processor Allocation
Abstract
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.
Year
DOI
Venue
2006
10.1142/S0129626406002770
PARALLEL PROCESSING LETTERS
Keywords
Field
DocType
adaptive processor allocation, dynamic loosely-synchronous system, time-increasing workload
Monte Carlo method,Workload,Parallel algorithm,Computer science,Adaptive method,Parallel computing,Radio frequency,Glow discharge,Dynamical system
Journal
Volume
Issue
ISSN
16
4
0129-6264
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Kuo-Chan Huang118422.95
Feng-jian Wang224239.75