Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives
Author:
Affiliation:
1. Department of Electrical and Computer Engineering Duke University 100 Science Drive Durham NC 27708 USA
2. Department of Electrical Engineering National Tsing Hua University Delta Building No. 101, Section 2, Kuang-Fu Road Hsinchu 30013 Taiwan
Funder
Air Force Research Laboratory
National Science Foundation
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.201900068
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3. T.Potok C.Schuman R.Patton T.Hylton H.Li R.Pino Neuromorphic Computing Architectures Models and Applications. A Beyond-CMOS Approach to Future Computing The Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) Oak Ridge TN June 29–July 1 2016.
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