Yangjie Zhou

Orcid: 0000-0002-3652-5437

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Yangjie Zhou authored at least 8 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design.
CoRR, 2023

DistSim: A performance model of large-scale hybrid distributed DNN training.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.
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.
CoRR, 2022

2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.
Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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