【TALK】July 17th, Adaptive Machine Learning-based Proactive Thermal Management for NoC Systems
- Title: Adaptive Machine Learning-based Proactive Thermal Management for NoC Systems
- Date: July 17, 2025 (Thursday)
- Time: 14:00~16:00
- Location: EC6011
- Registration: Please fill in the form below by July 13.
- Abstract:
Due to the intricate interconnections in modern multi-core systems, Network-on-Chip (NoC) technology has proven to be an effective solution for addressing communication challenges. However, the primary design obstacle in current NoC systems is the thermal issue, resulting from diverse workload distribution and high power density. To address this, Proactive Dynamic Thermal Management (PDTM) is implemented to efficiently regulate system temperature by utilizing predicted temperature data to minimize performance impact during temperature control periods. Nonetheless, existing temperature prediction models, reliant on specific physical parameters, often produce significant prediction errors due to temperature sensitivity. In this talk, a novel adaptive machine learning (ML)-based PDTM was introduced, receiving the IEEE TVLSI Best Paper Award in 2024. The adaptive ML-based PDTM initially employs an Adaptive Single Layer Perceptron (ASLP), incorporating a single-neuron operation and LMS adaptive filter technology, to accurately forecast future temperature. Subsequently, adaptive reinforcement learning is employed to determine the appropriate throttling ratio for temperature control. This approach allows the adaptive ML-based PDTM to adjust to the temperature behavior of the NoC system and provide a suitable temperature control strategy in real time. - Speaker bio
Kun-Chih (Jimmy) Chen is currently an Electric Junior Chair Professor at National Yang Ming Chiao Tung University (NYCU), Taiwan. His research interests include Multiprocessor SoC (MPSoC) design, Neural network learning algorithm design, Reliable system design, VLSI/CAD design, and Smart manufacturing. Prof. Chen heads many services in IEEE Circuits and Systems Society, such as IEEE JETCAS Guest Editor, General Chair of NoCArc 2020. Prof. Chen has received several prestigious national and international awards, including the Ta-You Wu Memorial Award of NSTC (i.e., Early Career Award in Taiwan), Chinese Institute of Electrical Engineering (CIEE) Outstanding Youth Electrical Engineer Award, Taiwan IC Design Society Outstanding Young Scholar Award, IEEE Tainan Section Best Young Professional Member Award, etc. Under his leadership, his research team became the first in Taiwan to win the IEEE ISCAS Best Student Paper Award and IEEE TVLSI Best Paper Award. He is an IEEE senior member.
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