Introduction to stochastic computing and its challenges
Introduction to stochastic computing and its challenges
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随机计算简介及其挑战
DOI：
10.1145/2744769.2747932
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
J. Hayes
中科院分区：
文献类型：
--
作者：
J. Hayes
我们简要概述了随机计算及其用途。 SC用随机的位流计算，它们松散地类似于大脑的神经尖峰。它的关键特征是使用低成本和低功率逻辑元素以高度易于耐受性的方式实现复杂的数值操作。这些优点必须与SC固有缓慢的计算速度和低精度相比。尽管自1960年代发明以来就进行了零星的研究，但SC最近恢复了兴趣，可能适合某些新兴的纳米技术以及ECC解码和生物医学图像处理等应用。但是，如果要充分实现这种潜力，则必须克服许多重大挑战。
We give a short overview of stochastic computing (SC) and its uses. SC computes with randomized bit-streams that loosely resemble the neural spike trains of the brain. Its key feature is the use of low-cost and low-power logic elements to implement complex numerical operations in a highly error-tolerant fashion. These advantages must be weighed against SC's inherently slow computing speed and low precision. Although studied sporadically since its invention in the 1960s, SC has regained interest recently as potentially suited to some emerging nanotechnologies, and to applications such as ECC decoding and biomedical image processing. However, a number of major challenges must be overcome if this potential is to be fully realized.