Abstract
Stochastic Computing (SC) is another substitute way to deal with digital information. With ongoing advances in Internet of Thigs (IOT) and wearable gadgets it is interesting to implement Artificial Neural Network (ANN), Image Processing applications on reconfigurable platform. However, several elements and very complicated connections are usually required, which leads to more hardware and power consumption. Stochastic Computing (SC) meet stringent requirement in embedded and mobile IOT devices. SC is an alternate approach to deterministic computing that treats binary data as probabilities. SC employs very low-complexity arithmetic units. SC is popular in immensely parallel systems and is exceptionally tolerant to soft errors. SC based hardware execution achieves low hardware foot print, low power and energy competent circuits while preserving high accuracy. This paper surveys SC's the low cost, low complexity, error tolerant, alternative to binary computing
Published Version
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