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dc.contributor.authorLeiserson, Charles E.
dc.contributor.authorSchardl, Tao Benjamin
dc.contributor.authorSuksompong, Warut
dc.date.accessioned2016-06-24T17:36:38Z
dc.date.available2016-06-24T17:36:38Z
dc.date.issued2015-02
dc.identifier.issn1432-4350
dc.identifier.issn1433-0490
dc.identifier.urihttp://hdl.handle.net/1721.1/103329
dc.description.abstractAbstract Inspired by applications in parallel computing, we analyze the setting of work stealing in multithreaded computations. We obtain tight upper bounds on the number of steals when the computation can be modeled by rooted trees. In particular, we show that if the computation with n processors starts with one processor having a complete k-ary tree of height h (and the remaining n−1 processors having nothing), the maximum possible number of steals is ∑ni=1(k−1)i(hi).en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s00224-015-9613-9en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleUpper Bounds on Number of Steals in Rooted Treesen_US
dc.typeArticleen_US
dc.identifier.citationLeiserson, Charles E., Tao B. Schardl, and Warut Suksompong. "Upper Bounds on Number of Steals in Rooted Trees." Theory of Computing Systems (February 2016) 58:2, pp 223-240.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorLeiserson, Charles E.en_US
dc.contributor.mitauthorSchardl, Tao Benjaminen_US
dc.relation.journalTheory of Computing Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T12:14:00Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media New York
dspace.orderedauthorsLeiserson, Charles E.; Schardl, Tao B.; Suksompong, Waruten_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0003-0198-3283
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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