Parallel processing
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 al...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | conferenceObject |
| منشور في: |
2005
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/7935 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/3-540-55895-0_401 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513467078148097 |
|---|---|
| author | Mansour, Nashat |
| author2 | Fox, Geoffrey C. |
| author2_role | author |
| author_facet | Mansour, Nashat Fox, Geoffrey C. |
| author_role | author |
| dc.creator.none.fl_str_mv | Mansour, Nashat Fox, Geoffrey C. |
| dc.date.none.fl_str_mv | 2005 2018-05-24T12:30:45Z 2018-05-24T12:30:45Z 2018-05-24 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/7935 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. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/3-540-55895-0_401 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Parallel processing CONPAR 92—VAPP V |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_3a91e7ba6185643e3ef180b5e0261eaa |
| identifier_str_mv | 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. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/7935 |
| publishDate | 2005 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Parallel processingCONPAR 92—VAPP VMansour, NashatFox, Geoffrey C.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.N/ASpringer2018-05-24T12:30:45Z2018-05-24T12:30:45Z20052018-05-24Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/7935Mansour, 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.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007/3-540-55895-0_401eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/79352021-03-19T10:43:14Z |
| spellingShingle | Parallel processing Mansour, Nashat |
| status_str | publishedVersion |
| title | Parallel processing |
| title_full | Parallel processing |
| title_fullStr | Parallel processing |
| title_full_unstemmed | Parallel processing |
| title_short | Parallel processing |
| title_sort | Parallel processing |
| url | http://hdl.handle.net/10725/7935 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/3-540-55895-0_401 |