YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration-Reference-Cited by-同舟云学术

YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration

Published:2018-01 Issue:1 Volume:37 Page:48-60
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Andri Renzo^ORCID,Cavigelli Lukas,Rossi Davide,Benini Luca

Funder

Swiss National Science Foundation

(MicroLearn: Micropower Deep Learning)

Armasuisse Science and Technology

ERC MultiTherman Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

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