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Workshop: Machine Learning with New Compute Paradigms

Device Codesign using Reinforcement Learning and Evolutionary Optimization

Catherine Schuman · Suma Cardwell · Karan Patel · J. Smith · Jared Arzate · Andrew Maicke · Samuel Liu · Jaesuk Kwon · Jean Anne Incorvia

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Sat 16 Dec 9:25 a.m. PST — 10:30 a.m. PST


Device discovery and circuit modeling for emerging devices, such as magnetic tunnel junctions, require detailed and time-consuming device and circuit simulations. In this work, we propose using AI-guided techniques such as reinforcement learning and evolutionary optimization to accelerate device discovery, creativity of solutions, and automate optimization to design true random number generators for a given distribution. We present preliminary results designing true random number generators using magnetic tunnel junctions optimized for performance.

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