Improved Accuracy of Stochastic Accumulator Using Low-Cost Bitonic Sorter

초록

This paper presents lightweight MAC hardware that transitions deep learning operations from binary to stochastic. Previous studies primarily conducted addition operations in the binary domain due to a significant accuracy drop in the stochastic adder. Consequently, a new calculation method called block-based stochastic computing (BSC) has been proposed, but it still shows a substantial accuracy drop. In contrast, the proposed stochastic computing-based MAC calculator achieves a 9% improvement in inference accuracy with 23% in area and 18% increase in power consumption compared to the BSC-MAC. © 2023 IEEE.

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