Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.

Computer(2016)

引用 23|浏览87
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摘要
Neuromemristive systems (NMSs) are gaining traction as an alternative to conventional CMOS-based von Neumann systems because of their greater energy and area efficiency. A proposed NMS accelerator for machine-learning tasks reduced power dissipation by five orders of magnitude, relative to a multicore reduced-instruction set computing processor.
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关键词
Memristors,Neurons,Multicore processing,Switches,Random access memory,Energy efficiency,Neuromemristive systems,Neural networks,Power system management,Low power electronics,Energy efficiency
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