Jingwei Sun

Orcid: 0000-0001-5098-1503

Affiliations:
  • University of Science and Technology of China, Hefei, China


According to our database1, Jingwei Sun authored at least 20 papers between 2016 and 2024.

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

Timeline

Legend:

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Bibliography

2024
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.
Neural Networks, January, 2024

2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.
CoRR, 2023

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
CoRR, 2023

Synthesizing Proxy Applications for MPI Programs.
CoRR, 2023

Scalable Tracing of MPI Events and Performance Metrics.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022
Lossy Compression of Communication Traces Using Recurrent Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2022

Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations.
Softw. Pract. Exp., 2022

Accelerating GNN Inference by Soft Channel Pruning.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

2021
Performance Analysis of Graph Neural Network Frameworks.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

An Efficient Channel-level Pruning for CNNs without Fine-tuning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Automated Performance Modeling of HPC Applications Using Machine Learning.
IEEE Trans. Computers, 2020

Fast Training of POI Recommendation Models Using Gradient Compression.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

An Active Learning Method for Empirical Modeling in Performance Tuning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
Constructing Skeleton for Parallel Applications with Machine Learning Methods.
Proceedings of the 48th International Conference on Parallel Processing, 2019

2017
Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016
SPLZ: An efficient algorithm for single source shortest path problem using compression method.
GeoInformatica, 2016


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