Abstract
This paper presents an analytical performance prediction model that can be used to predict the speedup and similar performance metrics of four approximate string searching implementations running on an MPI cluster of heterogeneous workstations. The four implementations are based on master-worker model using static and dynamic allocation of the text collection. The developed performance model has been validated on a 8-cluster of heterogeneous workstations and it has been shown that the model is able to predict the speedup of four parallel implementations accurately.
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References
Michailidis, P.D., Margaritis, K.G.: A Performance study of load balancing strategies for approximate string matching on an MPI heterogeneous system environment. In: Kranzlmüller, D., Kacsuk, P., Dongarra, J., Volkert, J. (eds.) PVM/MPI 2002. LNCS, vol. 2474, pp. 432–440. Springer, Heidelberg (2002)
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© 2003 Springer-Verlag Berlin Heidelberg
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Michailidis, P.D., Margaritis, K.G. (2003). Performance Analysis of Approximate String Searching Implementations for Heterogeneous Computing Platform. In: Dongarra, J., Laforenza, D., Orlando, S. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2003. Lecture Notes in Computer Science, vol 2840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39924-7_36
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DOI: https://doi.org/10.1007/978-3-540-39924-7_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20149-6
Online ISBN: 978-3-540-39924-7
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