Wednesday, 11 April 2018

Data Driven Optimizations for MTJ based Stochastic Computing. (arXiv:1804.03228v1 [cs.ET])

Stochastic computing, a form of computation with probabilities, presents an alternative to conventional arithmetic units. Magnetic Tunnel Junctions (MTJs), which exhibit probabilistic switching, have been explored as Stochastic Number Generators (SNGs). We provide a perspective of the energy requirements of such an application and design an energy-efficient and data-sensitive MTJ-based SNG. We discuss its benefits when used for stochastic computations, illustrating with the help of a multiplier circuit, in terms of energy savings when compared to computing with the baseline MTJ-SNG.



from cs updates on arXiv.org https://ift.tt/2JwWFo1
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