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Improving TAS Adaptability with a Variable Temperature Threshold
Thermal-Aware Scheduling (TAS) provides methods to manage the thermal dissipation of a computing chip during task execution.
Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model
Additionally, we compare the performance of a state of the art TAS algorithm, RT-TAS, to our proposed POD-TAS algorithm.
Pathfinding in Random Partially Observable Environments with Vision-Informed Deep Reinforcement Learning
Deep reinforcement learning is a technique for solving problems in a variety of environments, ranging from Atari video games to stock trading.
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