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Chengeng Li
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2020 – today
- 2024
- [j1]Xiao Li
, Lin Chen, Shixi Chen
Deep Reinforcement Learning-Based Power Management for Chiplet-Based Multicore Systems. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1726-1739 (2024) - [c10]Fan Jiang, Chengeng Li, Lin Chen, Jiaqi Liu, Wei Zhang, Jiang Xu:
SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. ASPDAC 2024: 13-18 - [c9]Fan Jiang, Chengeng Li, Wei Zhang, Jiang Xu:
Collaborative Coalescing of Redundant Memory Access for GPU System. ASPDAC 2024: 195-200 - [c8]Chengeng Li, Fan Jiang, Shixi Chen, Xianbin Li
Towards Scalable GPU System with Silicon Photonic Chiplet. DATE 2024: 1-6 - [c7]Xianbin Li
PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. DATE 2024: 1-6 - [c6]Xianbin Li
NEOCNN: NTT-Enabled Optical Convolution Neural Network Accelerator. ICS 2024: 352-362 - [c5]Lin Chen
PC-oriented Prediction-based Runtime Power Management for GPGPU using Knowledge Transfer. SPAA 2024: 359-370 - 2023
- [c4]Lin Chen, Xiao Li, Fan Jiang, Chengeng Li, Jiang Xu:
Smart Knowledge Transfer-based Runtime Power Management. DATE 2023: 1-6 - [c3]Chengeng Li, Fan Jiang, Shixi Chen, Xianbin Li
RONet: Scaling GPU System with Silicon Photonic Chiplet. ICCAD 2023: 1-9 - 2022
- [c2]Chengeng Li, Fan Jiang, Shixi Chen, Jiaxu Zhang, Yinyi Liu, Yuxiang Fu, Jiang Xu:
Accelerating Cache Coherence in Manycore Processor through Silicon Photonic Chiplet. ICCAD 2022: 43:1-43:9 - [c1]Xiao Li, Lin Chen, Shixi Chen, Fan Jiang, Chengeng Li, Jiang Xu:
Power Management for Chiplet-Based Multicore Systems Using Deep Reinforcement Learning. ISVLSI 2022: 164-169
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