MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

Author(s)
Sze, Vivienne; Chen, Yu-Hsin; Yang, Tien-Ju; Emer, Joel S
Thumbnail
Download_2020__SSCS__Evaluate_Deep_Learning_Processors (3).pdf (2.809Mb)
Open Access Policy

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Date issued
2020-08
URI
https://hdl.handle.net/1721.1/130112
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Microsystems Technology Laboratories
Journal
IEEE Solid-State Circuits Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Sze, Vivienne et al. "How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful." IEEE Solid-State Circuits Magazine 12, 3 (August 2020): 28 - 41. © 2020 IEEE
Version: Author's final manuscript
ISSN
1943-0582
1943-0590
Keywords
Electrical and Electronic Engineering

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.