Parallelizing an application with time-increasing workload using adaptive processor allocation

Kuo Chan Huang*, Feng-Jian Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)455-466
Number of pages12
JournalParallel Processing Letters
Volume16
Issue number4
DOIs
StatePublished - 1 Dec 2006

Keywords

  • Adaptive processor allocation
  • Dynamic loosely-synchronous system
  • Time-increasing workload

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