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Print ISSN: 2944-9162, E-ISSN: 2732-9941 An Open Access International Journal of Applied Science and Engineering
Volume 1, 2021
Advancing in-memory Arithmetic Based on CMOS-integrable Memristive Crossbar Structures
Authors: ,
Abstract: Memristive computing will be advantageous in large-scale, highly parallel mixed-mode processing architectures because processing can be performed directly within memristive memory architectures and intrachip communication can be implemented by a memristive crossbar structure with reconfigurable logic gates. Here we report on the development of a new concept for in-memory adders, using XOR functionality. Exploited memristive crossbar structures are based on memristive complementary resistive switches, e.g. TaOx, and BiFeO3.
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Keywords: Silicon Devices, Thin Film Technologies, Logic Synthesis, Data storage, In-Memory Logics, Fast Algorithms, Neural Networks, Artificial Intelligence, Numerical Analysis and Circuits, System architecture
Pages: 80-89
DOI: 10.37394/232020.2021.1.12