Abstract
In order to minimise the heavy cost of running parallel applications on expensive MPPs, we consider the use of workstation clusters. The main difficulty to obtain efficiency on such architectures is the fact that a slow node may dramatically decrease the overall performance of the machine. We propose a dynamic load balancing solution, based on a local partitioning scheme, consisting of moving sub-domain boundaries so as to adjust the processor load according to its available CPU capability.
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© 1999 Springer-Verlag Berlin Heidelberg
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Martin, M., Chopard, B. (1999). Low Cost Parallelizing: A Way to be Efficient. In: Hernández, V., Palma, J.M.L.M., Dongarra, J.J. (eds) Vector and Parallel Processing – VECPAR’98. VECPAR 1998. Lecture Notes in Computer Science, vol 1573. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703040_39
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DOI: https://doi.org/10.1007/10703040_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66228-0
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