Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4715
Title: In-memory Computing on Memristor Crossbar: Architecture and Algorithms
Authors: Kishori, Kajal
Pyne, Sumanta
Keywords: Memristor Crossbar
Algorithms
Issue Date: Oct-2024
Citation: IFIP/IEEE International Conference on Very Large Scale Integration(VLSI-SoC), Tanger, Morocco, 6-9 October 2024
Abstract: Frequent data transfers between memory and the processor in typical von Neumann computers lead to increased power consumption and performance degradation. These problems are addressed by non-von Neumann architecture that uses in-memory computing to reduce the need for data transfer by carrying out computations directly within the memory. Memristorbased non-volatile memory, which enables effective data processing and storage, is a key component in this evolution. This article discusses instruction-driven in-memory set operations, inmemory comparisons of integers and floating point numbers, and the impact of sneak-path on the memristor crossbar. It is observed that in-memory operations require less energy than CPU-based operations at a cost of minimal delay.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/4715
Appears in Collections:Conference Papers

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