Vectorization and parallelization of a production reactor assembly code
dc.contributor.author | Vujic, Jasmina L. | en_US |
dc.contributor.author | Martin, William R. | en_US |
dc.date.accessioned | 2006-04-10T14:53:59Z | |
dc.date.available | 2006-04-10T14:53:59Z | |
dc.date.issued | 1991 | en_US |
dc.identifier.citation | Vujic, Jasmina L., Martin, William R. (1991)."Vectorization and parallelization of a production reactor assembly code." Progress in Nuclear Energy 25(2-3): 291-305. <http://hdl.handle.net/2027.42/29596> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V3X-498166M-S1/2/5d12c782396aa6ded12130117ec0c72f | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/29596 | |
dc.description.abstract | In 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.extent | 750017 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Vectorization and parallelization of a production reactor assembly code | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbsecondlevel | Nuclear Engineering and Radiological Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Laboratory for Scientific Computation and the Department of Nuclear Engineering, The University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.contributor.affiliationum | Laboratory for Scientific Computation and the Department of Nuclear Engineering, The University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/29596/1/0000685.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0149-1970(91)90014-G | en_US |
dc.identifier.source | Progress in Nuclear Energy | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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