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dc.contributor.advisorArvinden_US
dc.contributor.authorMaa, Gino K.en_US
dc.date.accessioned2023-03-29T15:16:10Z
dc.date.available2023-03-29T15:16:10Z
dc.date.issued1988-05
dc.identifier.urihttps://hdl.handle.net/1721.1/149677
dc.description.abstractMultiprocessing seems to be the only viable way to gain significant speedup beyond that afforded by performance advances in semiconductor devices and hardware construction, which are beginning to face the limitations of physics. Although it is relatively easy to improve the "raw" computational performance of a system simply by adding more processors to it, the far more difficult task is to insure that the additional resources actually reduce a program's computing time.en_US
dc.relation.ispartofseriesMIT-LCS-TR-425
dc.titleCode-mapping Policies for the Tagged-token Dataflow Architectureen_US
dc.identifier.oclc19319951


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