Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39955
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLin, W-
dc.creatorChen, W-
dc.creatorLi, Z-
dc.creatorZheng, W-
dc.date.accessioned2016-05-17T10:08:39Z-
dc.date.available2016-05-17T10:08:39Z-
dc.identifier.issn1007-0214-
dc.identifier.urihttp://hdl.handle.net/10397/39955-
dc.language.isoenen_US
dc.publisherTsinghua Universityen_US
dc.rights© 2001 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.rights© 2001 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.subjectSMP clusteren_US
dc.subjectCommunication optimizationen_US
dc.subjectTask schedulingen_US
dc.titleCommunication optimization for SMP clustersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage18-
dc.identifier.epage23, 41-
dc.identifier.volume6-
dc.identifier.issue1-
dcterms.abstractShared Memory Processors (SMP) workstation clusters are becoming more and more popular. To optimize communication between the workstations, a new graph partition problem was developed to schedule tasks in SMP clusters. The problem is NP-complete and a heuristic algorithm was developed based on Lee, Kim and Park’s algorithm. Experimental results indicate that our algorithm outperforms theirs, especially when the number of partitions is large. This algorithm can be integrated in a parallelizing compiler as a back end optimizer for the distributed code generator. -
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTsinghua science and technology (清华大学学报自然科学版) (英文版), 2001, v. 6, no. 1, p. 18-23, 41-
dcterms.isPartOfTsinghua science and technology (清华大学学报自然科学版) (英文版)-
dcterms.issued2001-
dc.identifier.rosgroupidr02787-
dc.description.ros2000-2001 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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