A 0.13mJ/Prediction CIFAR-100 Raster-Scan- Based Wired-Logic Processor Using Non-Linear Neural Network-Reference-Cited by-同舟云学术

A 0.13mJ/Prediction CIFAR-100 Raster-Scan- Based Wired-Logic Processor Using Non-Linear Neural Network

Published:2023-05-21 Issue: Volume: Page:
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Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Li Dongzhu¹,Hsu Yao-Chung¹,Sumikawa Rei¹,Kosuge Atsutake¹,Hamada Mototsugu¹,Kuroda Tadahiro¹

Affiliation:

1. Graduate School of Engineering, The University of Tokyo,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181427.pdf?arnumber=10181427

Reference8 articles.

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4. NC-Net: Efficient Neuromorphic Computing Using Aggregated Sub-nets on a Crossbar-based Architecture with Non-volatile Memory

5. A 13.7?J/prediction 88% Accuracy CIFAR-I0 Single-Chip Wired-logic Processor in 16-nm FPGA using Non-Linear Neural Network;hsu;IEEE Hot Chips 22 Symposium (HCS),2022

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3. A 0.13mJ/Prediction CIFAR-100 Fully Synthesizable Raster-Scan-Based Wired-Logic Processor in 16-nm FPGA;IEICE Transactions on Electronics;2023