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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.
Physics-informed Reduced-Order Learning from the First Principles for Simulation of Quantum Nanostructures
Multi-dimensional direct numerical simulation (DNS) of the Schr\"odinger equation is needed for design and analysis of quantum nanostructures that offer numerous applications in biology, medicine, materials, electronic/photonic devices, etc.
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