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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 |
Files in This Item:
File | Description | Size | Format | |
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2024_VLSI-Soc_KKishori_In-memory.pdf | 211.43 kB | Adobe PDF | View/Open Request a copy |
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