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Chen Bai
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BOOM-Explorer: RISC-V BOOM microarchitecture design space exploration framework
C Bai, Q Sun, J Zhai, Y Ma, B Yu, MDF Wong
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
642021
Functionality matters in netlist representation learning
Z Wang, C Bai, Z He, G Zhang, Q Xu, TY Ho, B Yu, Y Huang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 61-66, 2022
302022
Graph learning-based arithmetic block identification
Z He, Z Wang, C Bai, H Yang, B Yu
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-8, 2021
252021
McPAT-Calib: A microarchitecture power modeling framework for modern CPUs
J Zhai, C Bai, B Zhu, Y Cai, Q Zhou, B Yu
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
212021
Deep neural network hardware deployment optimization via advanced active learning
Q Sun, C Bai, H Geng, B Yu
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
202021
McPAT-Calib: A RISC-V BOOM microarchitecture power modeling framework
J Zhai, C Bai, B Zhu, Y Cai, Q Zhou, B Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
152022
Fast and efficient DNN deployment via deep Gaussian transfer learning
Q Sun, C Bai, T Chen, H Geng, X Zhang, Y Bai, B Yu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
102021
ArchExplorer: Microarchitecture exploration via bottleneck analysis
C Bai, J Huang, X Wei, Y Ma, S Li, H Zheng, B Yu, Y Xie
Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023
82023
SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design
S Chen, S Zheng, C Bai, W Zhao, S Yin, Y Bai, B Yu
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 207-212, 2024
52024
2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration
S Li, C Bai, X Wei, B Shi, YK Chen, Y Xie
2022 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-7, 2022
52022
IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration
Z Yu, C Bail, S Hu, R Chen, T He, M Yuan, B Yu, M Wong
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
42023
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
C Bai, J Zhai, Y Ma, B Yu, MDF Wong
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 12-20, 2024
32024
Boosting VLSI Design Flow Parameter Tuning with Random Embedding and Multi-objective Trust-region Bayesian Optimization
S Zheng, H Geng, C Bai, B Yu, MDF Wong
ACM Transactions on Design Automation of Electronic Systems 28 (5), 1-23, 2023
32023
BOOM-Explorer: RISC-V BOOM microarchitecture design space exploration
C Bai, Q Sun, J Zhai, Y Ma, B Yu, MDF Wong
ACM Transactions on Design Automation of Electronic Systems 29 (1), 1-23, 2023
22023
Efficient arithmetic block identification with graph learning and network-flow
Z Wang, Z He, C Bai, H Yang, B Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
22022
Iccad cad contest 2022
S Li, C Bai, X Wei, B Shi, YK Chen, Y Xie
22022
Gnnavigator: Towards adaptive training of graph neural networks via automatic guideline exploration
T Qiao, J Yang, Y Qi, A Zhou, C Bai, B Yu, W Zhao, C Hu
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
12024
Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators
C Bai, X Wei, Y Zhuo, Y Cai, H Zheng, B Yu, Y Xie
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
12023
Is Vanilla Bayesian Optimization Enough for High-Dimensional Architecture Design Optimization?
Y Gao, D Luo, C Bai, B Yu, H Geng, Q Sun, C Zhuo
2024
RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization
P Xu, S Zheng, Y Ye, C Bai, S Xu, H Geng, TY Ho, B Yu
2024
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