Exploiting Uniform Spatial Distribution to Design Efficient Random Number Source for Stochastic Computing

Author:

Zhong Kuncai1,Li Zexi1,Jin Haoran1,Qian Weikang1

Affiliation:

1. Shanghai Jiao Tong University, China

Funder

National Key R&D Program of China

Publisher

ACM

Reference25 articles.

1. Stochastic computing

2. S. Liu and J. Han . Dynamic stochastic computing for digital signal processing applications . In DATE , pages 604 -- 609 , 2020 . S. Liu and J. Han. Dynamic stochastic computing for digital signal processing applications. In DATE, pages 604--609, 2020.

3. The Promise and Challenge of Stochastic Computing

4. Stochastic circuits for real-time image-processing applications

5. A survey of stochastic computing neural networks for machine learning applications;Liu Y.;IEEE TNNLS,2021

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. Efficient Random Number Sources Based on D Flip-Flops for Stochastic Computing;Design and Applications of Emerging Computer Systems;2023-08-17

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