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Combining measurement and stochastic modelling to enhance scheduling decisions for a parallel mean value analysis algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2006) 3992 LNCS - II 929-936
DOI: 10.1007/11758525_123
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Abstract

In this paper we apply the high-level modelling language PEPA to the performance analysis of a parallel program with a pipeline skeleton which computes the Mean Value Analysis (MVA) algorithm for queueing networks. © Springer-Verlag Berlin Heidelberg 2006.

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Yaikhom, G., Cole, M., & Gilmore, S. (2006). Combining measurement and stochastic modelling to enhance scheduling decisions for a parallel mean value analysis algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3992 LNCS-II, pp. 929–936). Springer Verlag. https://doi.org/10.1007/11758525_123

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