Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips-Reference-Cited by-同舟云学术

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Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips

Published:2023-03 Issue:3 Volume:70 Page:1228-1241
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Wei Shaojun¹^ORCID,Lin Xinhan²^ORCID,Tu Fengbin³^ORCID,Wang Yang¹^ORCID,Liu Leibo¹^ORCID,Yin Shouyi¹^ORCID

Affiliation:

1. School of Integrated Circuits, Tsinghua University, Beijing, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

3. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

Funder

NSFC

National Key Research and Development Program

Beijing National Research Center for Information Science and Technology

Beijing Advanced Innovation Center for Integrated Circuits

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/10052778/09996124.pdf?arnumber=9996124

Reference97 articles.

1. PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices

2. Prediction Based Execution on Deep Neural Networks

3. NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

4. Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach

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