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Survey of Stochastic Computing for Hardware implementation
Published in IEEE
Pages: 149 - 152
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.
About the journal
JournalData powered by Typeset2019 3rd International Conference on Recent Developments in Control, Automation and Power Engineering, RDCAPE 2019
PublisherData powered by TypesetIEEE
Open AccessNo