A partitioning advisory system for networked data-parallel processing

  title={A partitioning advisory system for networked data-parallel processing},
  author={Phyllis E. Crandall and Michael J. Quinn},
  journal={Concurrency - Practice and Experience},
With the increased performance capabilities of desktop computers, networked computing has become a popular vehicle for using parallelism to solve a variety of computationally intense problems. However, node heterogeneity and high communication costs may limit performance unless the problem space is carefully partitioned across the network in a way that considers both the capabilities of the machines and the high network communication costs. We describe an advisory system that is designed to… CONTINUE READING
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