Paper Title

Advanced RRAM and Future of Memory

Authors

Selva Lakshman Murali

Keywords

Keywords - Bandwidth, Latency, Process, RRAM, Energy efficiency, Material selection, Architecture, High-Performance Computing, Memory wall

Abstract

Memory is one of the fundamental components of computing that can be defined as the unit which enables data to be stored, retrieved, processed, and manipulated. It is visibly seen that in recent years the demand for compact, large volume, reliable, and high-speed memories have been enormous added to the huge dependence on data for all decision making and enablement of artificial intelligence. It is to be noted that a modern CPU is composed of more than fifty percent of memory blocks along with processing cores where this memory element is a key factor influencing the performance of the processor[1][2]. While there are metrics such as bandwidth, latency, energy efficiency, material selection, architecture, and operating conditions hindsight is the process that delivers the top-class memories. In this paper, we discuss concepts of emerging, future memories achieved through innovation, research, and development and focus more on the RRAM[3], its working, and targeted applications which is strongly being considered the memory element for high-performance computing (HPC) devices.

How To Cite

"Advanced RRAM and Future of Memory", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 8, page no.885 - 893, August-2023, Available :https://ijsdr.org/papers/IJSDR2308129.pdf

Issue

Volume 8 Issue 8, August-2023

Pages : 885 - 893

Other Publication Details

Paper Reg. ID: IJSDR_208288

Published Paper Id: IJSDR2308129

Downloads: 000347204

Research Area: Electronics & Communication Engg. 

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2308129

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2308129

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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