NS-Engine: Near-Sensor Neural Network Engine with SRAM-Based Compute-in-Memory Macro-Reference-Cited by-同舟云学术

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NS-Engine: Near-Sensor Neural Network Engine with SRAM-Based Compute-in-Memory Macro

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

Ren Erxiang¹,Liu Jiahui¹,Luo Li¹,Yang Xinghua²,Wei Qi³,Qiao Fei⁴

Affiliation:

1. Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China

2. Beijing Forestry University,Department of Electronics and Information Technology,Beijing,China

3. Tsinghua University,Department of Precision Instrument,Beijing,China

4. Tsinghua University,Department of Electronic Engineering and BNRist,Beijing,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10557977.pdf?arnumber=10557977

Reference13 articles.

1. Deep Learning With Edge Computing: A Review

2. CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks

3. A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips

4. A 5.1pJ/Neuron 127.3us/Inference RNN-based Speech Recognition Processor using 16 Computing-in-Memory SRAM Macros in 65nm CMOS

5. A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors

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