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No file available [This article belongs to Volume - 57, Issue - 1]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-01-11-2024-776
Title : Design and Performance Analysis of Memristor based ANN Neuromorphic Computing Systems using FPGA/ASIC
Bhagya, , Dr. Sharan Basaveshweshwar G.Hiremath,

Abstract : Memristors indeed represent a growing area with a range of intriguing properties, rendering them valuable for both storage and computing high level applications. To leverage memristor logic in complex Neuromorphic Computing Systems, particularly in models like Memristor-based Neural Networks for optimizations, the integration of high-speed and low-latency sub-systems such as adders and multipliers becomes crucial. The inherent properties of memristors, coupled with their ability to perform vario

Keywords : Performance Analysis, Neuromorphic Computing Systems, design, performance, analysis