Exploring Spin-transfer-torque devices and memristors for logic and memory applications

<p>As scaling CMOS devices is approaching its physical limits, researchers have begun exploring newer devices and architectures to replace CMOS.</p> <p>Due to their non-volatility and high density, Spin Transfer Torque (STT) devices are among the most prominent candidates for logic and memory applications. In this research, we first considered a new logic style called All Spin Logic (ASL). Despite its advantages, ASL consumes a large amount of static power; thus, several optimizations can be performed to address this issue. We developed a systematic methodology to perform the optimizations to ensure stable operation of ASL.</p> <p>Second, we investigated reliable design of STT-MRAM bit-cells and addressed the conflicting read and write requirements, which results in overdesign of the bit-cells. Further, a Device/Circuit/Architecture co-design framework was developed to optimize the STT-MRAM devices by exploring the design space through jointly considering yield enhancement techniques at different levels of abstraction.</p> <p>Recent advancements in the development of memristive devices have opened new opportunities for hardware implementation of non-Boolean computing. To this end, the suitability of memristive devices for swarm intelligence algorithms has enabled researchers to solve a maze in hardware. In this research, we utilized swarm intelligence of memristive networks to perform image edge detection. First, we proposed a hardware-friendly algorithm for image edge detection based on ant colony. Next, we designed the image edge detection algorithm using memristive networks.</p>

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2016

Author dc:creator

• Pajouhi, Zoha

Contributors dc:contributor

• Kaushik Roy
• Byunghooo Jung
• Saeed Mohammadi
• Anand Raghunathan

• Pure sciences
• Applied sciences
• Exploring
• Logic
• Memory
• Memristors
• Spin-transfer-torque
• Torque
• Computer Engineering
• Electrical and Computer Engineering
• Physics

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/824

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2016