SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors
Author:
Funder
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9585997/9586083/09586287.pdf?arnumber=9586287
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms;ACM Transactions on Autonomous and Adaptive Systems;2024-09-09
2. Steady-State Thermal Modeling for Embedded Applications;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13
3. NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores;ACM Transactions on Design Automation of Electronic Systems;2023-11-15
4. Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework;ACM Transactions on Design Automation of Electronic Systems;2023-09-08
5. Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
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