INDIRECT STAR-TYPE NETWORKS FOR LARGE MULTIPROCESSOR SYSTEMS

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dc.contributor.authorLEE, KYko
dc.contributor.authorYoon, Hyunsooko
dc.date.accessioned2013-02-25T18:23:57Z-
dc.date.available2013-02-25T18:23:57Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1991-11-
dc.identifier.citationIEEE TRANSACTIONS ON COMPUTERS, v.40, no.11, pp.1277 - 1282-
dc.identifier.issn0018-9340-
dc.identifier.urihttp://hdl.handle.net/10203/64295-
dc.description.abstractThe star graph interconnects more processors with smaller degree and diameter than the n-cube, and can be a good alternative to the n-cube for large multiprocessor systems [1]. In this paper, we propose three indirect star-type networks: the indirect star networks I & II and the star-delta network, and investigate their properties. An indirect star-type network is obtained by unfolding the star graph. Thus, the indirect star-type networks are to the star graph as the indirect cube-type networks are to the n-cube. We analyze the performance of the indirect star-type networks under uniform traffic to investigate their potential as an alternative to the indirect cube-type networks for the future high-performance large multiprocessor systems.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.subjectMEMORY-
dc.subjectINTERFERENCE-
dc.subjectARRAY-
dc.titleINDIRECT STAR-TYPE NETWORKS FOR LARGE MULTIPROCESSOR SYSTEMS-
dc.typeArticle-
dc.identifier.wosidA1991GP30400011-
dc.identifier.scopusid2-s2.0-0026257530-
dc.type.rimsART-
dc.citation.volume40-
dc.citation.issue11-
dc.citation.beginningpage1277-
dc.citation.endingpage1282-
dc.citation.publicationnameIEEE TRANSACTIONS ON COMPUTERS-
dc.identifier.doi10.1109/12.102833-
dc.contributor.localauthorYoon, Hyunsoo-
dc.contributor.nonIdAuthorLEE, KY-
dc.type.journalArticleNote-
dc.subject.keywordAuthorINDIRECT CUBE-TYPE NETWORKS-
dc.subject.keywordAuthorINDIRECT STAR-TYPE NETWORKS-
dc.subject.keywordAuthorPERFORMANCE ANALYSIS AND COMPARISON-
dc.subject.keywordAuthorTHE N-CUBE-
dc.subject.keywordAuthorTHE STAR GRAPH-
dc.subject.keywordAuthorUNIFORM TRAFFIC-
dc.subject.keywordPlusMEMORY-
dc.subject.keywordPlusINTERFERENCE-
dc.subject.keywordPlusARRAY-
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