An Efficient and Accurate Stochastic Number Generator Using Even-Distribution Coding

An Efficient and Accurate Stochastic Number Generator Using Even-Distribution Coding
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一种高效、准确的均匀分布编码随机数发生器

DOI:
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发表时间:
2018
影响因子:
2.9
通讯作者:
Jongeun Lee
Jongeun Lee
中科院分区:
计算机科学3区
文献类型:
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作者:
Aidyn Zhakatayev;Kyounghoon Kim;Kiyoung Choi;Jongeun Lee

文献摘要

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随机计算(SC)是一种很有前途的低功耗和低成本的应用程序与高容错性的额外好处。然而,生成随机比特流的高开销可以抵消SC的优点,特别是当需要大量比特流时。在本文中,我们提出了一种新的随机数发生器(SNG),显着减少面积和能源,同时提高精度。实验结果表明,所提出的SNG可以减少超过72%的能源相比,国家的最先进的设计。
Stochastic computing (SC) is a promising approach for low-power and low-cost applications with the added benefit of high error tolerance. However, the high overhead of generating stochastic bitstreams can offset the advantages of SC especially when a large number of bitstreams are needed. In this paper, we propose a new stochastic number generator (SNG) that significantly reduces area and energy while improving accuracy. Experimental results show that the proposed SNG can reduce energy by more than 72% compared with the state-of-the-art designs.