Abstract
Scalability of parallel system is an important goal which designers and users of parallel system seek for. It is also basic factor of performance evaluation and optimization of parallel system. Therefore scalability of parallel system becomes a research hotspot. At present high performance computing are most heterogeneous computing. Based on it in the paper we firstly regard heterogeneous computing as a research object, and present heterogeneous matching matrix of making computing tasks and architecture combining. Secondly we present scalability definition and function of heterogeneous computing. Thirdly by actual situation of computation task we give scalability conditions of meta task pool. Finally sample analysis has verified the scalability condition in heterogeneous parallel system.
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Hao, S., Zeng, G. (2011). Based on Heterogeneous Matching Matrix Scalability Analysis. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_48
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DOI: https://doi.org/10.1007/978-3-642-25188-7_48
Publisher Name: Springer, Berlin, Heidelberg
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