Approximate Computing with Stochastic Memristors
Konferenz: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
23.08.2016 - 25.08.2016 in Dresden, Deutschland
Tagungsband: CNNA 2016
Seiten: 2Sprache: EnglischTyp: PDF
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Autoren:
Naous, Rawan; Salama, Khaled Nabil (Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia)
Inhalt:
Approximate computing with memristive elements is a novel computing paradigm that sacrifices accuracy for power efficiency. It builds on the inherent stochastic switching behavior of the memristive devices to lower the voltage levels applied for the logic gates. With the added probabilistic operation of the underlying components, the accuracy of the output is to be studied and analyzed accordingly.