A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms-Reference-Cited by-同舟云学术

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms

Published:2022-06 Issue:3 Volume:39 Page:91-116
ISSN:2168-2356
Container-title:IEEE Design & Test
language:
Short-container-title:IEEE Des. Test

Author:

Bavikadi Sathwika¹^ORCID,Dhavlle Abhijitt¹,Ganguly Amlan²^ORCID,Haridass Anand³^ORCID,Hendy Hagar²,Merkel Cory²,Reddi Vijay Janapa⁴,Sutradhar Purab Ranjan²,Joseph Arun⁵^ORCID,Pudukotai Dinakarrao Sai Manoj¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA

2. Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA

3. Intel Corporation, Bengaluru, India

4. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

5. IBM Electronic Design Automation, Bengaluru, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/6221038/9761171/09739030.pdf?arnumber=9739030

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5. A Survey of AI Accelerators for Edge Environment

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