To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration-Reference-Cited by-同舟云学术

To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Published:2023-12 Issue:4 Volume:13 Page:1015-1025
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Ottati Fabrizio¹^ORCID,Gao Chang²^ORCID,Chen Qinyu³^ORCID,Brignone Giovanni¹^ORCID,Casu Mario R.¹^ORCID,Eshraghian Jason K.⁴^ORCID,Lavagno Luciano¹^ORCID

Affiliation:

1. Department of Electronics and Telecommunications Engineering, Politecnico di Torino, Turin, Italy

2. Department of Microelectronics, Delft University of Technology, Delft, The Netherlands

3. Institute of Neuroinformatics, University of Zürich, Zürich, Switzerland

4. Department of electrical and computer engineering, University of California at Santa Cruz, Santa Cruz, CA, USA

Funder

Key Digital Technologies Joint Undertaking under the REBECCA Project

European Union, Greece, Germany, The Netherlands, Spain, Italy, Sweden, Turkey, Lithuania, and Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/10375869/10309205.pdf?arnumber=10309205

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