Hardware emulation of stochastic p-bits for invertible logic
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-11011-8
Abstract: The common feature of nearly all logic and memory devices is that they make use of stable units to represent 0’s and 1’s. A completely different paradigm is based on three-terminal stochastic units which could… read more here.
Keywords: emulation stochastic; stochastic bits; invertible logic; hardware emulation ... See more keywords
Training Hardware for Binarized Convolutional Neural Network Based on CMOS Invertible Logic
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DOI: 10.1109/access.2020.3029576
Abstract: In this article, we implement fast and power-efficient training hardware for convolutional neural networks (CNNs) based on CMOS invertible logic. The backpropagation algorithm is generally hard to implement in hardware because it requires high-precision floating-point… read more here.
Keywords: invertible logic; cmos invertible; hardware; training ... See more keywords
Self-Adaptive Gate Control for Efficient Escape From Local Minimum Energy on Invertible Logic
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DOI: 10.1109/access.2023.3272867
Abstract: Invertible logic can realize bidirectional operations of a function represented by a Hamiltonian (energy) with noise and can be applied for integer factorization and training neural networks. However, the computation error is not negligible due… read more here.
Keywords: local minimum; minimum energy; energy; adaptive gate ... See more keywords