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Task granularity studies on a many-processor CRAY X-MP

dc.contributor.authorCalahan, Donald A. (Donald Albert)en_US
dc.date.accessioned2006-04-07T19:03:55Z
dc.date.available2006-04-07T19:03:55Z
dc.date.issued1985-06en_US
dc.identifier.citationCalahan, D. A. (1985/06)."Task granularity studies on a many-processor CRAY X-MP." Parallel Computing 2(2): 109-118. <http://hdl.handle.net/2027.42/25642>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V12-4D5NVP9-2/2/de012ed8a82c36fd4c2b1f50d814edbben_US
dc.identifier.urihttps://hdl.handle.net/2027.42/25642
dc.description.abstractA hybrid granularity model is proposed for general concurrent solution. It is applied to the triangular factorization of a dense matrix ranging in size from 4 to 1024. Concurrency is achieved at two levels: (1) with small (micro) task granularity and (2) with large (blocked) task granularity. Relevance to a many-processor CRAY X-MP is demonstrated by simulation.en_US
dc.format.extent545838 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleTask granularity studies on a many-processor CRAY X-MPen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 4809, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/25642/1/0000194.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-8191(85)90023-7en_US
dc.identifier.sourceParallel Computingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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