One-dimensional partitioning for heterogeneous systems: theory and practice
buir.contributor.author | Aykanat, Cevdet | |
dc.citation.epage | 1486 | en_US |
dc.citation.issueNumber | 11 | en_US |
dc.citation.spage | 1473 | en_US |
dc.citation.volumeNumber | 68 | en_US |
dc.contributor.author | Pınar, A. | en_US |
dc.contributor.author | Tabak, E. K. | en_US |
dc.contributor.author | Aykanat, Cevdet | en_US |
dc.date.accessioned | 2016-02-08T10:07:26Z | |
dc.date.available | 2016-02-08T10:07:26Z | |
dc.date.issued | 2008-11 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | We study the problem of one-dimensional partitioning of nonuniform workload arrays, with optimal load balancing for heterogeneous systems. We look at two cases: chain-on-chain partitioning, where the order of the processors is specified, and chain partitioning, where processor permutation is allowed. We present polynomial time algorithms to solve the chain-on-chain partitioning problem optimally, while we prove that the chain partitioning problem is NP-complete. Our empirical studies show that our proposed exact algorithms produce substantially better results than heuristics, while solution times remain comparable. © 2008 Elsevier Inc. All rights reserved. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:07:26Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.doi | 10.1016/j.jpdc.2008.07.005 | en_US |
dc.identifier.issn | 0743-7315 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/22984 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Academic Press | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.jpdc.2008.07.005 | en_US |
dc.source.title | Journal of Parallel and Distributed Computing | en_US |
dc.subject | Chain-on-chain partitioning | en_US |
dc.subject | Dynamic programming | en_US |
dc.subject | Load balancing | en_US |
dc.subject | One-dimensional partitioning | en_US |
dc.subject | Parallel computing | en_US |
dc.subject | Parametric search | en_US |
dc.subject | Heuristic programming | en_US |
dc.subject | Nuclear propulsion | en_US |
dc.subject | Parallel processing systems | en_US |
dc.subject | Polynomial approximation | en_US |
dc.subject | Chain partitioning | en_US |
dc.subject | Empirical studies | en_US |
dc.subject | Exact algorithms | en_US |
dc.subject | Heterogeneous systems | en_US |
dc.subject | Non uniform | en_US |
dc.subject | NP-complete | en_US |
dc.subject | Optimal load balancing | en_US |
dc.subject | Polynomial-time algorithms | en_US |
dc.subject | Real time systems | en_US |
dc.title | One-dimensional partitioning for heterogeneous systems: theory and practice | en_US |
dc.type | Article | en_US |
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