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NYCU Innovative Adaptive Machine Learning Approach Tackles Thermal Challenges in Multi-Core Network-on-Chip Systems
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To effectively address the increasingly severe thermal challenges in multi-core NoC systems, the Ceres Lab research team at National Yang Ming Chiao Tung University’s (NYCU) Institute of Electronics, led by Professor Kun-Chih (Jimmy) Chen, proposes a low-cost online learning mechanism for temperature prediction in Network-on-Chip (NoC) systems and utilizes ...
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