Design of Multiplier Circuit Based on Signed-Digit Hybrid Stochastic Computing

Song, Yinjie; Li, Hongge; Zhu, Xinyu; Chen, Yuhao

doi:10.1109/isvlsi61997.2024.00022

2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) 2024

DOI: 10.1109/isvlsi61997.2024.00022

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Design of Multiplier Circuit Based on Signed-Digit Hybrid Stochastic Computing

Yinjie Song,

Hongge Li,

Xinyu Zhu

et al.

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2024

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Stochastic Computing Architectures: Modeling, Optimization, and Applications

Wang,

Luo,

Gao

2024

Symmetry

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With the rapid development of artificial intelligence (AI), the design and implementation of very large-scale integrated circuits (VLSI) based on traditional binary computation are facing challenges of high complexity, computational power, and high power consumption. The development of Moore’s law has reached the limit of physical technology, and there is an urgent need to explore new computing architectures to make up for the shortcomings of traditional binary computing. To address the existing problems, Stochastic Computing (SC) is an unconventional stochastic sequence that converts binary numbers into a coded stream of digital pulses. It has a remarkable symmetry with binary computation. It uses logic gate circuits in the probabilistic domain to implement complex arithmetic operations at the expense of computational accuracy and time. It has low power and logic resource consumption and a small circuit area. This paper analyzes the basic concepts and development history of SC and neural networks (NNs), summarizes the development progress of SC with NN at home and abroad, and discusses the development trend of SC and the future challenges and prospects of NN. Through systematic summarization, this paper provides new learning ideas and research directions for developing AI chips.

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Stochastic Computing Architectures: Modeling, Optimization, and Applications

Wang,

Luo,

Gao

2024

Symmetry

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Design of Multiplier Circuit Based on Signed-Digit Hybrid Stochastic Computing

Cited by 1 publication

References 15 publications

Stochastic Computing Architectures: Modeling, Optimization, and Applications

Stochastic Computing Architectures: Modeling, Optimization, and Applications

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