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A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

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Title: A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.
Authors: Zimmer, Brian1, bzimmer@nvidia.com, Venkatesan, Rangharajan1, Shao, Yakun Sophia2, Clemons, Jason3, Fojtik, Matthew4, Jiang, Nan5, Keller, Ben1, Klinefelter, Alicia4, Pinckney, Nathaniel3, Raina, Priyanka6, Tell, Stephen G.4, Zhang, Yanqing1, Dally, William J.1, Emer, Joel S.7, Gray, C. Thomas4, Keckler, Stephen W.3, Khailany, Brucek3
Source: IEEE Journal of Solid-State Circuits; Apr2020, Vol. 55 Issue 4, p920-932, 13p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 142452387
AccessLevel: 2
PubType: Academic Journal
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PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=142452387
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