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A Next-Generation Cryogenic Processor Architecture

DC Field Value Language
dc.contributor.authorByun, Ilkwon-
dc.contributor.authorMin, Dongmoon-
dc.contributor.authorLee, Gyuhyeon-
dc.contributor.authorNa, Seongmin-
dc.contributor.authorKim, Jangwoo-
dc.date.accessioned2023-09-25T05:52:47Z-
dc.date.available2023-09-25T05:52:47Z-
dc.date.created2021-06-15-
dc.date.issued2021-05-
dc.identifier.citationIEEE Micro, Vol.41 No.3, pp.80-86-
dc.identifier.issn0272-1732-
dc.identifier.urihttps://hdl.handle.net/10371/195626-
dc.description.abstractCryogenic computing can achieve high performance and power efficiency by dramatically reducing the device's leakage power and wire resistance at low temperatures. Recent advances in cryogenic computing focus on developing cryogenic-optimal cache and memory devices to overcome memory capacity, latency, and power walls. However, little research has been conducted to develop a cryogenic-optimal core architecture even with its high potentials in performance, power, and area efficiency. In this article, we first develop CryoCore-Model, a cryogenic processor modeling framework that can accurately estimate the maximum clock frequency of processor models running at 77 K. Next, driven by the modeling tool, we design CryoCore, a 77 K-optimal core microarchitecture to maximize the core's performance and area efficiency while minimizing the cooling cost. The proposed cryogenic processor architecture, in this article, achieves the large performance improvement and power reduction and, thus, contributes to the future of high-performance and power-efficient computer systems.-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleA Next-Generation Cryogenic Processor Architecture-
dc.typeArticle-
dc.identifier.doi10.1109/MM.2021.3070133-
dc.citation.journaltitleIEEE Micro-
dc.identifier.wosid000655552800012-
dc.identifier.scopusid2-s2.0-85103765928-
dc.citation.endpage86-
dc.citation.number3-
dc.citation.startpage80-
dc.citation.volume41-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Jangwoo-
dc.type.docTypeArticle-
dc.description.journalClass1-
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