| Project UID | CORE06 |
|---|---|
| Course | EE501: Spin-Based Computing |
| Project Department | Electrical Engineering |
| Title of Project | Spintronics-Based Neuromorphic and Ising Computing |
| Name of Professor | Debanjan Bhowmik |
| Year of Study Criteria | Both 2nd Year and 3rd Year UGs |
| Project Description | With the scaling of conventional-silicon-transistor devices almost reaching saturation, conventional machine learning/ neural networks implementations hitting a major bottleneck (due to the separation of memory and computing units in conventional computers, popularly known as the von Neumann bottleneck), and solution of different combinatorial optimization problems taking enormous amount time on conventional computers, various unconventional computing paradigms have emerged recently, like neuromorphic computing and Ising computing, which make use of novel materials beyond silicon and devices beyond transistors. Neuromorphic computing is about solving machine learning tasks on brain-inspired energy-efficient hardware, while Ising computing is about solving combinatorial optimization algorithms heuristically on unconventional hardware. Magnetic materials and related nanomagnetic and spintronic devices are very important for both these computing schemes, as I have taught in the ongoing semester in the EE501 (Spin-Based Computing) course. This project is about extending those ideas into full-blown design and simulation, and some amount of experimental work. |
| Concepts Required | 1. Neural network algorithms and neuromorphic crossbar array design 2. Combinatorial optimization problems and Ising computing 3. STTMRAM and SOTMRAM as synapses of the crossbar array 4. Spintronic oscillators for Ising computing |
| Learning Outcomes | The students will be able to extend the ideas taught in EE501 and the homework problems they solved into a full-blown research project, which will involve design, simulation, and a small amount of experimental work. |
| Expectations from students | Completing the course EE 501 is a must. |
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