2n RRR: Improved Stochastic Number Duplicator Based on Bit Re-Arrangement
2n RRR: Improved Stochastic Number Duplicator Based on Bit Re-Arrangement
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2n RRR:基于比特重排的改进随机数复制器
DOI:
10.1109/ngcas.2018.8572289
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
N. Togawa
中科院分区:
文献类型:
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作者:
Ryota Ishikawa;Masashi Tawada;M. Yanagisawa;N. Togawa
In the fields of machine learning and image processing, cost-less circuits with low energy are required instead of extreme precision, and stochastic computing (SC), a type of approximate computing, is attracting attention. In SC, stochastic numbers (SNs), bit streams with values of the appearance rates of 1‘s, are used. SC enables calculations with simple circuits. To make the calculation results correct, duplication of an SN (gener-ating an SN with the same value) is required when using the SN with the same value. The conventional SN duplicator composed of a flip-flop (FF) has a problem that the output SN only depends on the input SN. Therefore, if the FF-based duplicator is used in a circuit with re-convergence paths, the output SN becomes erroneous. This paper proposes an SN duplicator, 2n RRR, that can output more independent output by its improved flexibility of bit re-arrangement. With this duplicator, the errors of the hyperbolic tangent function are reduced by up to 50% compared to the duplicator that we proposed previously. Also, up to more than 99.9% of the circuit area is reduced compared to the implementation of binary computing.