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

Bibliographic Details
Main Authors:	Sze, Vivienne (Author), Chen, Yu-Hsin (Author), Yang, Tien-Ju (Author), Emer, Joel S (Author)
Other Authors:	Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Microsystems Technology Laboratories (Contributor)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE), 2021-03-09T19:08:18Z.
Subjects:	Article
Online Access:	Get fulltext


LEADER	00838 am a22001933u 4500
001	130112
042			\|a dc
100	1	0	\|a Sze, Vivienne \|e author
100	1	0	\|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science \|e contributor
100	1	0	\|a Massachusetts Institute of Technology. Microsystems Technology Laboratories \|e contributor
700	1	0	\|a Chen, Yu-Hsin \|e author
700	1	0	\|a Yang, Tien-Ju \|e author
700	1	0	\|a Emer, Joel S \|e author
245	0	0	\|a How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful
260			\|b Institute of Electrical and Electronics Engineers (IEEE), \|c 2021-03-09T19:08:18Z.
856			\|z Get fulltext \|u https://hdl.handle.net/1721.1/130112
690			\|a Electrical and Electronic Engineering
655	7		\|a Article
773			\|t IEEE Solid-State Circuits Magazine

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