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An On-Chip Network Fabric Supporting Coarse-Grained Processor Array

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dc.contributor.authorPhi-Hung Pham-
dc.contributor.authorPhuong Mau-
dc.contributor.authorKim, Jungmoon-
dc.contributor.authorKim, Chulwoo-
dc.date.accessioned2021-09-06T05:39:30Z-
dc.date.available2021-09-06T05:39:30Z-
dc.date.created2021-06-14-
dc.date.issued2013-01-
dc.identifier.issn1063-8210-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/104299-
dc.description.abstractCoarse grained arrays (CGAs) with run-time reconfigurability play an important role in accelerating reconfigurable computing applications. It is challenging to design on-chip communication networks (OCNs) for such CGAs with dynamic run-time reconfigurability whilst satisfying the tight budgets of power and area for an embedded system. This paper presents a silicon-proven design of a 64-PE circuit-switched OCN fabric with a dynamic path-setup scheme capable of supporting an embedded coarse-grained processor array. A proof-of-concept test chip fabricated in a 0.13 mu m CMOS process occupies a silicon area of 23 mm(2) and consumes a peak power of 200 mW @ 128 MHz and 1.2 Vcc, at room temperature. The OCN overhead consumes 9.4% of the area and 18% of the power of the total chip. Experimental results and analysis show that the proposed OCN fabric with its dynamic path-setup is suitable for use in an embedded CGA supporting fast run-time reconfigurability.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleAn On-Chip Network Fabric Supporting Coarse-Grained Processor Array-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Chulwoo-
dc.identifier.doi10.1109/TVLSI.2011.2181546-
dc.identifier.scopusid2-s2.0-84871788554-
dc.identifier.wosid000312835000022-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v.21, no.1, pp.178 - 182-
dc.relation.isPartOfIEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS-
dc.citation.titleIEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS-
dc.citation.volume21-
dc.citation.number1-
dc.citation.startPage178-
dc.citation.endPage182-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorCoarse grained array (CGA)-
dc.subject.keywordAuthornetwork-on-chip (NoC)-
dc.subject.keywordAuthoron-chip communication network-
dc.subject.keywordAuthorreconfigurable computing-
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