A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad-Reference-Cited by-同舟云学术

A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad

Published:2023-08 Issue:8 Volume:70 Page:3079-3083
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Hu Xianghong¹^ORCID,Liu Xuejiao¹,Liu Yu¹^ORCID,Zhang Haowei¹,Huang Xijie²,Guan Xihao¹,Liang Luhong¹^ORCID,Tsui Chi Ying²^ORCID,Xiong Xiaoming³^ORCID,Cheng Kwang-Ting²^ORCID

Affiliation:

1. ACCESS-AI Chip Center for Emerging Smart Systems, InnoHK Centers, Hong Kong Science Park, Hong Kong, China

2. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China

3. School of Microelectronics, Guangdong University of Technology, Guangzhou, China

Funder

AI Chip Center for Emerging Smart System (ACCESS) sponsored by InnoHK funding, Hong Kong, SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10198497/10071554.pdf?arnumber=10071554

Reference20 articles.

1. EIE

2. Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding;han;arXiv 1510 00149 [cs],2015

3. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

4. High-Performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System

5. HAQ: Hardware-Aware Automated Quantization With Mixed Precision

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. ALSCA: A Large-Scale Sparse CNN Accelerator Using Position-First Dataflow and Input Channel Merging Approach;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-07

3. An End-to-End Deep-Learning-Based Indirect Time-of-Flight Image Signal Processor;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

4. NDIE: A Near DRAM Inference Engine Exploiting DIMM's Parallelism;2023 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS);2023-11-19