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

Kuo Chan Huang; Feng-Jian Wang

doi:10.1142/S0129626406002770

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

Kuo Chan Huang^*, Feng-Jian Wang

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	455-466
Number of pages	12
Journal	Parallel Processing Letters
Volume	16
Issue number	4
DOIs	https://doi.org/10.1142/S0129626406002770
State	Published - 1 Dec 2006

Keywords

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

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Cite this

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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.",

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

Abstract

Keywords

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