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Issue No.12 - December (1988 vol.37)
pp: 1627-1634
ABSTRACT
A model is presented for parallel processing in loosely coupled multiprocessing environments, such as networks of computer workstations, that are amenable to large-grained parallelism. The model takes into account the overhead involved in data communication to and from a remote processor and can be used to partition a large class of computations optimally, consisting of computations that can be
INDEX TERMS
parallel processing; loosely coupled; multiprocessing environments; large-grained parallelism; model; optimal partition; parallel processing.
CITATION
R. Agrawal, H.V. Jagadish, "Partitioning Techniques for Large-Grained Parallelism", IEEE Transactions on Computers, vol.37, no. 12, pp. 1627-1634, December 1988, doi:10.1109/12.9739
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