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<p><b>Abstract</b>—This paper considers an analytic data distribution for improving the performance of host-client type parallel applications which exhibit serialized communication patterns. The technique involves assuming the serialized communications is enforced, which simplifies data analysis and can provide the basis for real-time dynamic load balancing. This distribution has been tested using a parallel matrix multiplication implementation and a parallel MPEG compression implementation. The key results of this paper are that analytic distribution can reduce execution time and increase scalability of certain parallel applications over typical equal data distributions.</p>
Parallel algorithms, analytic distribution, host-client communication.
V. Lakshmi Narasimhan, Nicholas Comino, "A Novel Data Distribution Technique for Host-Client Type Parallel Applications", IEEE Transactions on Parallel & Distributed Systems, vol. 13, no. , pp. 97-110, February 2002, doi:10.1109/71.983939
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