Scalable parallel algorithms for difficult combinatorial problems

A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are used to launch systematic attacks on combinatorial problems of significance. As a case study, optimal solutions to very lar...

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Main Author: Abu-Khzam, Faisal N. (author)
Other Authors: Langston, Micheal A. (author), Shanbhag, Pushkar (author)
Format: conferenceObject
Published: 2004
Online Access:http://hdl.handle.net/10725/7514
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.semanticscholar.org/paper/Scalable-parallel-algorithms-for-difficult-A-case-Abu-Khzam-Langston/6df262f3247bb5df2d028020421fcb4c45df65c1
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author Abu-Khzam, Faisal N.
author2 Langston, Micheal A.
Shanbhag, Pushkar
author2_role author
author
author_facet Abu-Khzam, Faisal N.
Langston, Micheal A.
Shanbhag, Pushkar
author_role author
dc.creator.none.fl_str_mv Abu-Khzam, Faisal N.
Langston, Micheal A.
Shanbhag, Pushkar
dc.date.none.fl_str_mv 2004
2018-04-24T11:28:24Z
2018-04-24T11:28:24Z
2018-04-24
dc.identifier.none.fl_str_mv http://hdl.handle.net/10725/7514
Abu-Khzam, F. N., Langston, M. A., & Shanbhag, P. (2004). Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization. In Parallel and Distributed Computing and Networks (pp. 649-654).
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.semanticscholar.org/paper/Scalable-parallel-algorithms-for-difficult-A-case-Abu-Khzam-Langston/6df262f3247bb5df2d028020421fcb4c45df65c1
dc.language.none.fl_str_mv en
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Scalable parallel algorithms for difficult combinatorial problems
a case study in optimization
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are used to launch systematic attacks on combinatorial problems of significance. As a case study, optimal solutions to very large instances of the NP-hard vertex cover problem are computed. To accomplish this, an efficient sequential algorithm and two forms of parallel algorithms are implemented. The importance of maintaining a balanced decomposition of the search space is shown to be critical to achieving scalability. With the synergistic combination of techniques detailed here, it is now possible to solve problem instances that before were widely viewed as hopelessly out of reach. Target problems need only be amenable to reduction and decomposition. Applications are also discussed.
eu_rights_str_mv openAccess
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id LAURepo_c5f823dad0fddcf71260b042a828e5a9
identifier_str_mv Abu-Khzam, F. N., Langston, M. A., & Shanbhag, P. (2004). Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization. In Parallel and Distributed Computing and Networks (pp. 649-654).
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/7514
publishDate 2004
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spelling Scalable parallel algorithms for difficult combinatorial problemsa case study in optimizationAbu-Khzam, Faisal N.Langston, Micheal A.Shanbhag, PushkarA novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are used to launch systematic attacks on combinatorial problems of significance. As a case study, optimal solutions to very large instances of the NP-hard vertex cover problem are computed. To accomplish this, an efficient sequential algorithm and two forms of parallel algorithms are implemented. The importance of maintaining a balanced decomposition of the search space is shown to be critical to achieving scalability. With the synergistic combination of techniques detailed here, it is now possible to solve problem instances that before were widely viewed as hopelessly out of reach. Target problems need only be amenable to reduction and decomposition. Applications are also discussed.N/A2018-04-24T11:28:24Z2018-04-24T11:28:24Z20042018-04-24Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/7514Abu-Khzam, F. N., Langston, M. A., & Shanbhag, P. (2004). Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization. In Parallel and Distributed Computing and Networks (pp. 649-654).http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.semanticscholar.org/paper/Scalable-parallel-algorithms-for-difficult-A-case-Abu-Khzam-Langston/6df262f3247bb5df2d028020421fcb4c45df65c1eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/75142021-03-19T10:43:12Z
spellingShingle Scalable parallel algorithms for difficult combinatorial problems
Abu-Khzam, Faisal N.
status_str publishedVersion
title Scalable parallel algorithms for difficult combinatorial problems
title_full Scalable parallel algorithms for difficult combinatorial problems
title_fullStr Scalable parallel algorithms for difficult combinatorial problems
title_full_unstemmed Scalable parallel algorithms for difficult combinatorial problems
title_short Scalable parallel algorithms for difficult combinatorial problems
title_sort Scalable parallel algorithms for difficult combinatorial problems
url http://hdl.handle.net/10725/7514
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.semanticscholar.org/paper/Scalable-parallel-algorithms-for-difficult-A-case-Abu-Khzam-Langston/6df262f3247bb5df2d028020421fcb4c45df65c1