Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing

Cory Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew Marinella

Computer · 2016 · 37 citations · 12 references

Concepts

Abstract

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.

References

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