What I've been learning — a continuous log of papers, media, and course notes in exploratory nature.
Literature review · University of California, Davis · 3 pages
An undergraduate academic literature review examining thermal-aware scheduling strategies across modern computing systems. The paper compares reinforcement learning, multi-objective optimization, and model predictive control, with particular attention to how different frameworks incorporate thermal modeling and balance computational efficiency with hardware constraints.
Topics: Computer Architecture, Reinforcement Learning, Thermal Modeling, Scheduling Optimization