Memristor-based content-addressable memory – Complete Phd and Masters Thesis

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Introduction

The rapid advancement in technology has led to the need for more efficient and faster memory systems. Content-addressable memory (CAM) has emerged as a promising solution to meet these demands. CAM is a type of memory that allows data to be accessed based on its content rather than its address, making it ideal for applications such as search engines, database systems, and network routers. However, traditional CAMs have limitations such as high power consumption and limited scalability.

Memristors, the fourth fundamental circuit element, have shown great potential for use in memory systems due to their non-volatile nature, low power consumption, and high scalability. Memristor-based CAMs have the potential to revolutionize memory systems by combining the advantages of memristors with the efficient content-addressable access of traditional CAMs.

This thesis aims to explore the design, implementation, and evaluation of a memristor-based content-addressable memory system. The research will focus on optimizing the performance, power consumption, and scalability of the memory system to meet the increasing demands of modern computing systems.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Introduction to Memristors
2.2 Overview of Content-Addressable Memory
2.3 Memristor-based Memory Systems
2.4 Previous Research on Memristor-based CAMs
2.5 Challenges and Opportunities in Memristor-based CAMs
2.6 Comparison with Traditional CAMs
2.7 Emerging Trends in Memory Systems
2.8 Memristor Technology Advancements
2.9 Memristor Fabrication Techniques
2.10 Memristor-based CAM Applications

Chapter 3: System Design and Methodology
3.1 System Architecture
3.2 Memristor Array Design
3.3 Encoding and Decoding Techniques
3.4 Search Algorithms
3.5 Power Optimization Strategies
3.6 Scalability Considerations
3.7 Testing and Evaluation Methods
3.8 Performance Metrics

Chapter 4: System Implementation
4.1 Memristor Selection and Integration
4.2 Circuit Design and Simulation
4.3 Programming and Configuration
4.4 Prototype Development
4.5 Testing and Validation
4.6 Performance Analysis
4.7 Power Consumption Measurement
4.8 Scalability Testing

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to the Field
5.3 Future Research Directions
5.4 Conclusion

Thesis Overview

The thesis focuses on the design, implementation, and evaluation of a memristor-based content-addressable memory system. It begins with a comprehensive introduction to the topic, providing background information on memristors, traditional CAMs, and the motivation for combining these technologies. The problem statement highlights the limitations of existing memory systems and the need for more efficient alternatives.

The objectives of the study include optimizing the performance, power consumption, and scalability of the memory system. The thesis outlines the scope of the research, defining the boundaries within which the study will be conducted. The significance of the study is also discussed, emphasizing the potential impact of memristor-based CAMs on the future of memory systems.

The structure of the thesis is outlined, detailing the chapters and contents that will be covered. Chapter 1 provides a detailed introduction to the topic, while Chapter 2 reviews the existing literature on memristors, CAMs, and memristor-based memory systems. Chapter 3 focuses on system design and methodology, discussing key components such as system architecture, encoding techniques, and search algorithms.

Chapter 4 delves into the implementation of the memory system, covering aspects such as memristor selection, circuit design, and performance analysis. Finally, Chapter 5 wraps up the thesis with a conclusion and summary of findings, highlighting the contributions of the research and outlining future research directions in the field.

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