Parallel processing

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dc.contributor.author Mansour, Nashat
dc.contributor.author Fox, Geoffrey C.
dc.date.accessioned 2018-05-24T12:30:45Z
dc.date.available 2018-05-24T12:30:45Z
dc.date.copyright 2005 en_US
dc.date.issued 2018-05-24
dc.identifier.uri http://hdl.handle.net/10725/7935
dc.description.abstract Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. The three algorithms deviate from the sequential versions in order to achieve acceptable speed-ups. The parallel annealing and neural algorithms include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves. These schemes arc found useful for providing both good solutions and reasonable execution times. The parallel genetic algorithm is based on a model of natural evolution. The three algorithms preserve the high quality solutions and the non-bias properties of their sequential counterparts. Further, the comparison results show their suitability for different requirements of mapping time and quality. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.title Parallel processing en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle CONPAR 92—VAPP V en_US
dc.author.school SAS en_US
dc.author.idnumber 198629170 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords High quality solution en_US
dc.keywords Parallel annealing en_US
dc.keywords Parallel execution time en_US
dc.keywords Sequential genetic algorithm en_US
dc.keywords Node algorithm en_US
dc.identifier.ctation Mansour, N., & Fox, G. C. (1992). Parallel physical optimization algorithms for data mapping. In Parallel Processing: CONPAR 92—VAPP V (pp. 91-96). Springer, Berlin, Heidelberg. en_US
dc.author.email nmansour@lau.edu.lb en_US
dc.conference.date September 1–4, 1992 en_US
dc.conference.pages 91-96 en_US
dc.conference.place Lyon, France en_US
dc.conference.title Second Joint International Conference on Vector and Parallel Processing en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://link.springer.com/chapter/10.1007/3-540-55895-0_401 en_US
dc.orcid.id https://orcid.org/0000-0002-3603-8284 en_US
dc.publication.date 2005 en_US
dc.author.affiliation Lebanese American University en_US

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