ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor

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dc.contributor.authorLee, Juhyoungko
dc.contributor.authorKim, Jihoonko
dc.contributor.authorJo, Wooyoungko
dc.contributor.authorKim, Sangyeobko
dc.contributor.authorKim, Sangjinko
dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2022-02-27T06:42:39Z-
dc.date.available2022-02-27T06:42:39Z-
dc.date.created2022-02-27-
dc.date.created2022-02-27-
dc.date.created2022-02-27-
dc.date.created2022-02-27-
dc.date.issued2022-01-
dc.identifier.citationIEEE MICRO, v.42, no.1, pp.99 - 107-
dc.identifier.issn0272-1732-
dc.identifier.urihttp://hdl.handle.net/10203/292445-
dc.description.abstractThe authors propose a heterogeneous floating-point (FP) computing architecture to maximize energy efficiency by separately optimizing exponent processing and mantissa processing. The proposed exponent-computing-in-memory architecture and mantissa-free exponent-computing algorithm reduce the power consumption of both memory and FP MAC while resolving previous FP computing-in-memory processors' limitations. Also, a bfloat16 DNN training processor with proposed features and sparsity exploitation support is implemented and fabricated in 28-nm CMOS technology. It achieves 13.7-TFLOPS/W energy efficiency while supporting FP operations with CIM architecture.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.titleECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor-
dc.typeArticle-
dc.identifier.wosid000752012500018-
dc.identifier.scopusid2-s2.0-85110907729-
dc.type.rimsART-
dc.citation.volume42-
dc.citation.issue1-
dc.citation.beginningpage99-
dc.citation.endingpage107-
dc.citation.publicationnameIEEE MICRO-
dc.identifier.doi10.1109/MM.2021.3096236-
dc.contributor.localauthorYoo, Hoi-Jun-
dc.contributor.nonIdAuthorKim, Jihoon-
dc.contributor.nonIdAuthorJo, Wooyoung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCommon Information Model (computing)-
dc.subject.keywordAuthorCommon Information Model (electricity)-
dc.subject.keywordAuthorComputer architecture-
dc.subject.keywordAuthorMemory management-
dc.subject.keywordAuthorPower demand-
dc.subject.keywordAuthorSystem-on-chip-
dc.subject.keywordAuthorTraining-
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