Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation
Maya Gokhale | 22-DR-009
We will develop asynchronous (or clockless) microelectronics logic designs for deep learning networks that can adapt themselves as data and operating conditions change. This will provide low-power microelectronics designs with much higher efficiency, allowing improved near-sensor computing capabilities for remote sensing and autonomous vehicles.
Publications, Presentations, and Patents
Krishnan, S., Z. Wan, K. Bhardwaj, P. Whatmough, A. Faust, G. Wei, D. Brooks, and V. J. Reddi. "Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles." Accepted, IEEE International Symposium on Microarchitecture (MICRO). Chicago, IL. October 1-5, 2022.