Challenges hindering memristive neuromorphic hardware from going mainstream

Gina C. Adam, Ali Khiat and Themis Prodromakis ()
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Gina C. Adam: George Washington University
Ali Khiat: University of Southampton
Themis Prodromakis: University of Southampton

Nature Communications, 2018, vol. 9, issue 1, 1-4

Abstract: Abstract Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.

Date: 2018
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DOI: 10.1038/s41467-018-07565-4

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