A Reconfigurable SIMT Processor for Mobile Ray Tracing With Contention Reduction in Shared Memory

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dc.contributor.authorKim, Hong-Yunko
dc.contributor.authorKim, Young-Junko
dc.contributor.authorOh, Jie-Hwanko
dc.contributor.authorKim, Lee-Supko
dc.date.accessioned2013-06-07T07:55:34Z-
dc.date.available2013-06-07T07:55:34Z-
dc.date.created2012-06-18-
dc.date.created2012-06-18-
dc.date.issued2013-04-
dc.identifier.citationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.60, no.4, pp.938 - 950-
dc.identifier.issn1549-8328-
dc.identifier.urihttp://hdl.handle.net/10203/173778-
dc.description.abstractIn this paper, we present a reconfigurable SIMT multi-core processor with a shared memory for mobile ray tracing. The proposed processor addresses two issues of SIMT architecture: branch divergence of concurrently executed threads and contention in a shared memory. Performance degradation due to the branch divergence is reduced by dividing a wide SIMT datapath into several narrow SIMT cores that execute independent threads asynchronously. The contention in a shared memory caused by the multiple SIMT cores is alleviated by introducing a new time-division multiplexing (TDM) scheme using multi-phase clocks. The SIMT cores send their requests to a shared memory sequentially not concurrently by synchronizing the SIMT cores with multi-phase clocks to hide arbitration delays. The processor achieves the same datapath utilization as 4-wide SIMT which has been widely used by CPU-based ray tracers while its area remains 68% of the 4-wide SIMT. As a result, the performance normalized to area is improved by 26% compared to previous work with negligible overheads (2.6% for area and 1% for power consumption). The chip was fabricated in 90 nm CMOS technology, and it contains 2.3 M logic gates and 19.3 KB SRAM. It consumes 221 mW at 100 MHz with Vdd = 1.2V.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSYSTEM-
dc.titleA Reconfigurable SIMT Processor for Mobile Ray Tracing With Contention Reduction in Shared Memory-
dc.typeArticle-
dc.identifier.wosid000317005400012-
dc.identifier.scopusid2-s2.0-84875713228-
dc.type.rimsART-
dc.citation.volume60-
dc.citation.issue4-
dc.citation.beginningpage938-
dc.citation.endingpage950-
dc.citation.publicationnameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS-
dc.identifier.doi10.1109/TCSI.2012.2209302-
dc.contributor.localauthorKim, Lee-Sup-
dc.contributor.nonIdAuthorKim, Young-Jun-
dc.contributor.nonIdAuthorOh, Jie-Hwan-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBranch divergence-
dc.subject.keywordAuthormobile multi-core processor-
dc.subject.keywordAuthorray tracing-
dc.subject.keywordAuthorshared memory contention-
dc.subject.keywordAuthorSIMT-
dc.subject.keywordAuthor3-D graphics-
dc.subject.keywordPlusSYSTEM-
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