The Cellular Nonlinear Network (CNN) is a powerful paradigm in analog computing. As pure-CMOS based CNN Universal Machine faces the von Neumann bottleneck, the integration of memristive devices with their non-volatile memory properties is of major interest. These networks are called Memristor-CNNs (M-CNNs). Moreover, the integration of memristors brings richer dynamics into the network, such that M-CNNs are highly suitable for neuromorphic computing tasks. This paper presents the experimental verification of a processing unit of an uncoupled M-CNN design with a valance change mechanism (VCM) based memristor. We outline a simple measurement strategy to study M-CNNs with real-world devices and provide compelling evidence that the results of the M-CNN processing element are stored in a non-volatile manner. This work further offers crucial insights into design considerations of M-CNN networks.
Experimental Verification of Uncoupled Memristive Cellular Nonlinear Network by Processing the EDGE Detection Task / Wang, Y.; Ascoli, A.; Wiefels, S.; Schnieders, K.; Cüppers, F.; Tetzlaff, R.; Menzel, S.; Ntinas, V.; Hoffmann-Eifert, S.; Rana, V.. - ELETTRONICO. - (2023). (Intervento presentato al convegno 18. ACM International Symposium on Nanoscale Architectures (NANOARCH) tenutosi a Dresden (Germany) nel 18-20 December 2023) [10.1145/3611315.3633274].
Experimental Verification of Uncoupled Memristive Cellular Nonlinear Network by Processing the EDGE Detection Task
Ascoli, A.;
2023
Abstract
The Cellular Nonlinear Network (CNN) is a powerful paradigm in analog computing. As pure-CMOS based CNN Universal Machine faces the von Neumann bottleneck, the integration of memristive devices with their non-volatile memory properties is of major interest. These networks are called Memristor-CNNs (M-CNNs). Moreover, the integration of memristors brings richer dynamics into the network, such that M-CNNs are highly suitable for neuromorphic computing tasks. This paper presents the experimental verification of a processing unit of an uncoupled M-CNN design with a valance change mechanism (VCM) based memristor. We outline a simple measurement strategy to study M-CNNs with real-world devices and provide compelling evidence that the results of the M-CNN processing element are stored in a non-volatile manner. This work further offers crucial insights into design considerations of M-CNN networks.File | Dimensione | Formato | |
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Experimental Verification of Uncoupled Memristive Cellular Nonlinear Network by Processing the EDGE Detection Task.pdf
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https://hdl.handle.net/11583/2986064