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A scheduling system for exploiting data and task parallelism on PC laboratory clusters

Ying‐Nan Chen (Working toward his PhD in computer science and information engineering, at the National Central University, Taiwan)
Li‐Ming Tseng (Professor at the National Central University, Taiwan)
Yi‐Ming Chen (Associate Professor, at the National Central University, Taiwan)

Campus-Wide Information Systems

ISSN: 1065-0741

Article publication date: 1 March 2003

444

Abstract

Presents a framework for deciding on a good execution strategy for a given program based on the available data and task parallelism in the program on PC laboratory clusters. Proposes a virtual cluster scheduling scheme to take account of the relationships between tasks for task parallelism, and also processor speed, processor load and network environment to balance load for data parallelism in a PC cluster environment. The approach is very effective in terms of the overall execution time, and demonstrates the feasibility of automatic cluster assignment, processor set selection and data partition functions for data and task parallel programs.

Keywords

Citation

Chen, Y., Tseng, L. and Chen, Y. (2003), "A scheduling system for exploiting data and task parallelism on PC laboratory clusters", Campus-Wide Information Systems, Vol. 20 No. 1, pp. 4-16. https://doi.org/10.1108/10650740310455559

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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