Abstract
The performance of a large class of virtual pipeline algorithms on heterogeneous networks is studied. The word heterogeneity refers here both to the processing and communication capabilities. To balance the differences among processors requires a vectorial combination of block and cyclic mappings, assigning different number of virtual processes per processor. Following a progressive approach, we derive a formula that predicts the performance for the general case. The computational results carried out on a heterogeneous cluster of PCs prove the effectiveness of the approach and the accuracy of the predictions.
Authors are listed in alphabetical order. This work has been partially supported by: Spanish CICYT under grant TIC-1999-0754-03 (MALLBA).
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Almeida, F., González, D., Moreno, L.M., Rodríguez, C. (2002). An Analytical Model for Pipeline Algorithms on Heterogeneous Clusters. In: Kranzlmüller, D., Volkert, J., Kacsuk, P., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2002. Lecture Notes in Computer Science, vol 2474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45825-5_62
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DOI: https://doi.org/10.1007/3-540-45825-5_62
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