Models of Machines MICHAEL Edinburgh and Computation for Mapping in Multicomputers G. NORMAN Parallel Computing Centre, Uruuerslty of Edinburgh, Edinburgh, Scotland, EH93JZ PETER THANISCH Department of Computer Science, Unll,erstty of Edinburgh, Edinburgh, Scotland, EH93JZ It is now more on mapping there Nor work field of multiprocessor M lt always than a quarter of a century exmts since a large researchers across results body started publishing on the subject, papers resources but strategies for distributing There accepted framework computation whereby the computation in the field systems of hterature M no commonly changes paper, hardware data stream can be compared problem. easy to assess in parallel to current the relevance computing multiprocessor of a new result technology systems. have to a particular made Furthermore, In this available multiple Categories Multlple some of the earlier research in the stream of less relevance is considered versions in terms of the mappmg of its relevance problem are classified, multlple and to the problem ter. of programming instruction currently in the form computer: of a distributed-memory a m zdtzcompu and Subject Data Stream Descriptors: C. 1.2 [Computer parallel Architectures MIMD; Network Architecture Communication Networks]: Devices]: Modes of Computation parallelism by Abstract General Addltlonal Terms:
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Models of machines and computation for mapping in multicomputers
Norman, Michael G.; Thanisch, Peter
Follow ACM Computing Surveys (CSUR)
, Volume 25 (3)
Association for Computing Machinery – Sep 1, 1993
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