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Evaluation of Execution Time of Mathematical Library Functions Based on Historical Performance Information

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

The paper presents the concept of a mechanism for predicting the execution time of mathematical library functions. The technique bases on the analysis of historical information concerning the performance of previous executions. The main application of the proposed mechanism is the prediction of the execution time of mathematical library functions in the Grid RPC systems. It can also be used in other heterogeneous and distributed environments where some parts of code are often executed and the prediction of execution time is crucial for high performance of computations and/or load balancing of the resources.

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© 2004 Springer-Verlag Berlin Heidelberg

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Brzezniak, M., Meyer, N. (2004). Evaluation of Execution Time of Mathematical Library Functions Based on Historical Performance Information. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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