A partitioned on-chip virtual cache for fast processors

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dc.contributor.authorKim, Dko
dc.contributor.authorLee, Joonwonko
dc.contributor.authorPark, Sko
dc.date.accessioned2013-02-27T14:09:13Z-
dc.date.available2013-02-27T14:09:13Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-05-
dc.identifier.citationJOURNAL OF SYSTEMS ARCHITECTURE, v.43, no.8, pp.519 - 531-
dc.identifier.issn1383-7621-
dc.identifier.urihttp://hdl.handle.net/10203/69002-
dc.description.abstractIn this paper, we propose a new virtual cache architecture that reduces memory latency by encompassing the merits of both direct-mapped cache and set-associative cache, The entire cache memory is divided into n banks, and the operating system assigns one of the banks to a process when it is created. Then, each process runs on the assigned bank, and the bank behaves like in a direct-mapped cache. If a cache miss occurs in the active home bank, then the data will be fetched either from other banks or from the main memory like a set-associative cache. A victim for cache replacement is selected from those that belong to a process which is most remote from being scheduled. Trace-driven simulations confirm that the new scheme removes almost as many conflict misses as does the set-associative cache, while cache access time is similar to a direct-mapped cache.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectPERFORMANCE-
dc.titleA partitioned on-chip virtual cache for fast processors-
dc.typeArticle-
dc.identifier.wosidA1997WQ26300001-
dc.type.rimsART-
dc.citation.volume43-
dc.citation.issue8-
dc.citation.beginningpage519-
dc.citation.endingpage531-
dc.citation.publicationnameJOURNAL OF SYSTEMS ARCHITECTURE-
dc.identifier.doi10.1016/S1383-7621(96)00123-3-
dc.contributor.nonIdAuthorKim, D-
dc.contributor.nonIdAuthorPark, S-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorvirtual cache-
dc.subject.keywordAuthorconflict miss-
dc.subject.keywordAuthormultiprogramming-
dc.subject.keywordAuthorcontext switch-
dc.subject.keywordAuthorprocess-
dc.subject.keywordAuthorcache partitioning-
dc.subject.keywordAuthorreplacement algorithms-
dc.subject.keywordPlusPERFORMANCE-
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