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Vectorization and parallelization of a production reactor assembly code
dc.contributor.authorVujic, Jasmina L.en_US
dc.contributor.authorMartin, William R.en_US
dc.date.accessioned2006-04-10T14:52:34Z
dc.date.available2006-04-10T14:52:34Z
dc.date.issued1991en_US
dc.identifier.citationVujic, Jasmina L., Martin, William R. (1991)."Vectorization and parallelization of a production reactor assembly code." Progress in Nuclear Energy 26(3): 147-162. <http://hdl.handle.net/2027.42/29561>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V3X-498168D-S8/2/a73a146871fa85e9351d5c7cbc282b87en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29561
dc.description.abstractIn order to efficiently use new features of supercomputers, production codes, usually written 10 - 20 years ago, must be tailored for modern computer architectures. We have chosen to optimize the CPM-2 code, a production reactor assembly code based on the collision probability transport method. Substantional speedups in the execution times were obtained with the parallel/vector version of the CPM-2 code. In addition, we have developed a new transfer probability method, which removes some of the modelling limitations of the collision probability method encoded in the CPM-2 code, and can fully utilize parallel/vector architecture of a multiprocessor IBM 3090.en_US
dc.format.extent946716 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleVectorization and parallelization of a production reactor assembly codeen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelNuclear Engineering and Radiological Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumLaboratory for Scientific Computation and the Department of Nuclear Engineering, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationumLaboratory for Scientific Computation and the Department of Nuclear Engineering, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29561/1/0000649.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0149-1970(91)90033-Len_US
dc.identifier.sourceProgress in Nuclear Energyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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