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Introduction

In recent years, the field of spintronics has gained significant attention due to its potential for creating energy-efficient and high-performance electronic devices. Spintronics, or spin electronics, utilizes not only the charge of electrons but also their spin to store and process information. One promising application of spintronics is in the development of logic-in-memory architectures, where logic operations are performed directly in memory elements, eliminating the need for separate logic and memory units. This approach has the potential to overcome the von Neumann bottleneck, where the data transfer between logic and memory units consumes a significant amount of energy and limits overall performance.

This thesis focuses on exploring the design and implementation of spintronic logic-in-memory architectures. The goal is to investigate how spintronics can be leveraged to improve the efficiency and performance of computing systems. This research will contribute to the growing body of knowledge on spintronics and its applications in the field of computer architecture.

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 Overview of Spintronics
2.2 Spintronic Memory Technologies
2.3 Logic-in-memory Architectures
2.4 Spintronics in Computing Systems
2.5 Energy Efficiency in Spintronic Devices
2.6 Spintronics and Neuromorphic Computing
2.7 Challenges in Spintronics Integration
2.8 Previous Research on Spintronic Logic-in-memory Architectures
2.9 Future Directions in Spintronics Research
2.10 Summary of Literature Review

Chapter 3: System Design and Methodology
3.1 System Requirements
3.2 Memory Element Design
3.3 Logic Element Design
3.4 Integration of Logic and Memory
3.5 Power Management Strategies
3.6 Testing and Validation
3.7 Performance Evaluation Metrics
3.8 Comparison with Conventional Architectures

Chapter 4: System Implementation
4.1 Hardware Platform Selection
4.2 Memory Element Fabrication
4.3 Logic Element Implementation
4.4 Integration of Logic and Memory Units
4.5 Software Development for System Control
4.6 System Testing and Debugging
4.7 Performance Optimization
4.8 Benchmarking and Evaluation
4.9 Results Analysis

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

Thesis Overview

Spintronics, a rapidly evolving field at the intersection of electronics and magnetism, has attracted significant research interest in recent years. Unlike traditional electronics that rely solely on the charge of electrons, spintronics utilizes the intrinsic spin of electrons as an additional degree of freedom for information storage and processing. This unique property allows for the development of high-speed, low-power electronic devices with novel functionalities.

One promising application of spintronics is in the design of logic-in-memory architectures, where logic operations are performed directly within memory elements. This approach has the potential to significantly improve the efficiency and performance of computing systems by reducing the latency and energy consumption associated with data transfer between separate logic and memory units. By integrating logic and memory functions, spintronic logic-in-memory architectures have the potential to overcome the limitations of the traditional von Neumann architecture and enable new computing paradigms.

This thesis aims to investigate the design, implementation, and evaluation of spintronic logic-in-memory architectures. The research will focus on developing novel memory and logic elements based on spintronic technologies, exploring system-level design considerations, optimizing power consumption, and evaluating the performance of the proposed architectures. The findings of this research will contribute to the advancement of spintronics and its applications in next-generation computing systems.

In the following chapters, a comprehensive review of the relevant literature on spintronics, memory technologies, logic-in-memory architectures, and computing systems will be provided. The system design and methodology for implementing spintronic logic-in-memory architectures will be detailed, along with the hardware and software implementation considerations. The results of performance evaluation and benchmarking will be discussed in Chapter 4, followed by a conclusion and summary of the thesis in Chapter 5. Overall, this thesis aims to advance the state-of-the-art in spintronic logic-in-memory architectures and provide valuable insights into the future of computing technology.

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