Yuan Zhou
Yuan Zhou
Amazon Web Services
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Channel gating neural networks
W Hua, Y Zhou, CM De Sa, Z Zhang, GE Suh
Advances in Neural Information Processing Systems 32, 2019
Rosetta: A realistic high-level synthesis benchmark suite for software programmable fpgas
Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ...
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
Fast and accurate estimation of quality of results in high-level synthesis with machine learning
S Dai, Y Zhou, H Zhang, E Ustun, EFY Young, Z Zhang
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018
HeteroCL: A multi-paradigm programming infrastructure for software-defined reconfigurable computing
YH Lai, Y Chi, Y Hu, J Wang, CH Yu, Y Zhou, J Cong, Z Zhang
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
Boosting the performance of cnn accelerators with dynamic fine-grained channel gating
W Hua, Y Zhou, C De Sa, Z Zhang, GE Suh
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
A new approach to automatic memory banking using trace-based address mining
Y Zhou, KM Al-Hawaj, Z Zhang
Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017
PRIMAL: Power inference using machine learning
Y Zhou, H Ren, Y Zhang, B Keller, B Khailany, Z Zhang
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Logic synthesis meets machine learning: Trading exactness for generalization
S Rai, WL Neto, Y Miyasaka, X Zhang, M Yu, Q Yi, M Fujita, GB Manske, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
A-QED verification of hardware accelerators
E Singh, F Lonsing, S Chattopadhyay, M Strange, P Wei, X Zhang, Y Zhou, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs
S Xiang, YH Lai, Y Zhou, H Chen, N Zhang, D Pal, Z Zhang
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC
Y Zhou, H Wang, J Yin, Z Zhang
2021 58th ACM/IEEE Design Automation Conference (DAC), 55-60, 2021
Trace-Based Learning for Agile Hardware Design and Design Automation
Y Zhou
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