Special Section on Edge AI and Accelerators

Deepu John; Yongfu Li; Xinmiao Zhang

doi:10.1109/OJCAS.2020.3047505

IEEE Open Journal of Circuits and Systems (Jan 2021)

Special Section on Edge AI and Accelerators

Deepu John,
Yongfu Li,
Xinmiao Zhang

Affiliations

Deepu John: ORCiD; School of Electrical and Electronics Engineering, University College Dublin, Dublin, Ireland
Yongfu Li: ORCiD; Department of Micro-Nano Electronics and MoE Key, Laboratory of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China
Xinmiao Zhang: ORCiD; Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA

DOI: https://doi.org/10.1109/OJCAS.2020.3047505
Journal volume & issue: Vol. 2
pp. 128 – 130

Abstract

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This special section presents seven state-of-the-art design techniques for AI hardware accelerators that lead to substantial improvements on energy efficiency, reconfigurability, and resource utilization.

Published in IEEE Open Journal of Circuits and Systems

ISSN: 2644-1225 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8784029

About the journal