In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches
Advanced Intelligent Systems, vol. 2
Abstract
Binary Neural Networks In article number 2000134, Stephan Menzel and co-workers explore a computation in-memory concept for binary vector-matrix multiplications based on complementary resistive switches. Experimental results on a small-scale demonstrator are shown and the influence of device variability is investigated. The simulated inference of a 1-layer fully connected binary neural network trained on the MNIST data set resulted in an accuracy of nearly 86%.
Authors 4
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Tobias Ziegler Aachen JARA-FIT Institute of Materials in Electrical Engineering and Information Technology II
RWTH Aachen University · Jülich Aachen Research Alliance
Affiliation as printed
JARA-FIT and Institute of Materials in Electrical Engineering and Information Technology II RWTH Aachen University Sommerfeldstraße 24 Aachen 52074 Germany
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Rainer Waser Aachen JARA-FIT Institute of Materials in Electrical Engineering and Information Technology II
RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance
Affiliation as printed
JARA-FIT and Institute of Materials in Electrical Engineering and Information Technology II RWTH Aachen University Sommerfeldstraße 24 Aachen 52074 Germany
JARA-FIT and Peter Grünberg Institute 10 Forschungszentrum Jülich GmbH Wilhelm-Johnen-Straße Jülich 52428 Germany
JARA-FIT and Peter Grünberg Institute 7 Forschungszentrum Jülich GmbH Wilhelm-Johnen-Straße Jülich 52428 Germany
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Dirk J. Wouters Aachen JARA-FIT Institute of Materials in Electrical Engineering and Information Technology II
RWTH Aachen University · Jülich Aachen Research Alliance
Affiliation as printed
JARA-FIT and Institute of Materials in Electrical Engineering and Information Technology II RWTH Aachen University Sommerfeldstraße 24 Aachen 52074 Germany
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Stephan Menzel corresponding
Forschungszentrum Jülich · Jülich Aachen Research Alliance
Affiliation as printed
JARA-FIT and Peter Grünberg Institute 7 Forschungszentrum Jülich GmbH Wilhelm-Johnen-Straße Jülich 52428 Germany
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