Youwei Zhuo
Orcid: 0000-0002-1557-2613
According to our database1,
Youwei Zhuo
authored at least 19 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 2024 USENIX Annual Technical Conference, 2024
2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
2020
SympleGraph: distributed graph processing with precise loop-carried dependency guarantee.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020
2019
Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee.
ACM Trans. Comput. Syst., 2019
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019
2018
Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications.
IEEE Trans. Very Large Scale Integr. Syst., 2018
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018
GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018
2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.
CoRR, 2017
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017