Yangjie Zhou

Orcid: 0000-0002-3652-5437

Affiliations:

Shanghai Jiao Tong University, China

According to our database¹, Yangjie Zhou authored at least 7 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2023

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design.

[BibT_eX]

[DOI]

CoRR, 2023

DistSim: A performance model of large-scale hybrid distributed DNN training.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Yangjie Zhou

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