Highly scalable parallel search-tree algorithms

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dc.contributor.author Abu-Khzam, Faisal N.
dc.contributor.author Mouawad, Amer A.
dc.contributor.author Jahed, Karim A.
dc.date.accessioned 2017-03-16T09:22:05Z
dc.date.available 2017-03-16T09:22:05Z
dc.date.issued 2017-03-16
dc.identifier.uri http://hdl.handle.net/10725/5375
dc.description.abstract Summary form only given. We introduce the notion of a virtual topology and explore the use of search-tree indexing to achieve highly scalable parallel search-tree algorithms for NP-hard problems. Vertex Cover and Cluster Editing are used as case studies. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title Highly scalable parallel search-tree algorithms en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle the virtual topology approach en_US
dc.author.school SAS en_US
dc.author.idnumber 200302941 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Topology en_US
dc.keywords Search problems en_US
dc.keywords Load management en_US
dc.keywords Scalability en_US
dc.keywords Network topology en_US
dc.keywords Hypercubes en_US
dc.keywords Clustering algorithms en_US
dc.identifier.doi http://dx.doi.org/10.1109/CLUSTER.2015.91 en_US
dc.identifier.ctation Abu-Khzam, F. N., Mouawad, A. E., & Jahed, K. A. (2015, September). Highly Scalable Parallel Search-Tree Algorithms: The Virtual Topology Approach. In Cluster Computing (CLUSTER), 2015 IEEE International Conference on (pp. 518-518). IEEE. en_US
dc.author.email faisal.abukhzam@lau.edu.lb en_US
dc.conference.date 8-11 Sept. 2015 en_US
dc.conference.pages 518
dc.conference.place Chicago, IL, USA en_US
dc.conference.title 2015 IEEE International Conference on Cluster Computing en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/7307638/ en_US
dc.orcid.id https://orcid.org/0000-0001-5221-8421
dc.author.affiliation Lebanese American University en_US

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