A High-Throughput and Configurable TRNG Based on Dual-Mode Memristor for Stochastic Computing-Reference-Cited by-同舟云学术

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A High-Throughput and Configurable TRNG Based on Dual-Mode Memristor for Stochastic Computing

Published:2023-10-27 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)
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Author:

Cheng Zezhi¹,Qin Yabo¹,Wang Zongwei¹,Zou Feng²,Wang Cuimei¹,Cai Yimao¹,Huang Ru¹

Affiliation:

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

2. School of Software & Microelectronics, Peking University,Beijing,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Nova Program

“111” Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10363774/10363775/10364295.pdf?arnumber=10364295

Reference9 articles.

1. A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks

2. Efficient stochastic successive cancellation list decoder for polar codes

3. Survey of Stochastic Computing

4. Memory materials and devices: From concept to application

5. Tunable Stochastic Oscillator Based on Hybrid VO2/TaOx Device for Compressed Sensing;Lin;IEEE Electron Device Letters,2020

Cited by 2 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. A Brief Survey on Randomizer Design and Optimization for Efficient Stochastic Computing;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18

2. A Novel 0.04 pJ/bit Dynamic TRNG using Bit Reconfigurable Ring Oscillators;SoutheastCon 2024;2024-03-15

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