A Novel Data Distribution Technique for Host-Client Type Parallel Applications

  • Authors:
  • Nicholas Comino;V. Lakshmi Narasimhan

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Parallel and Distributed Systems
  • Year:
  • 2002

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Abstract

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.