CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device-Reference-Cited by-同舟云学术

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CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device

Published:2024-05-19 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Guo Yan-Cheng¹,Chang Tian-Sheuan¹,Lin Chih-Sheng²,Chiou Bo-Cheng²,Lai Chih-Ming²,Sheu Shyh-Shyuan²,Lo Wei-Chung²,Chang Shih-Chieh²

Affiliation:

1. National Yang Ming Chiao Tung University,Institute of Electronics,Hsinchu,Taiwan

2. Industrial Technology Research Institute,Hsinchu,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558177.pdf?arnumber=10558177

Reference11 articles.

1. ImageNet classification with deep convolutional neural networks

2. Small-footprint keyword spotting using deep neural networks

3. Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge Devices

4. A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting

5. BR-CIM: An Efficient Binary Representation Computation-In-Memory Design

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