Tung D. Le

According to our database1, Tung D. Le authored at least 11 papers between 2016 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Compiling ONNX Neural Network Models Using MLIR.
CoRR, 2020

Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Profiling based Out-of-core Hybrid Method for Large Neural Networks.
CoRR, 2019

Profiling based out-of-core hybrid method for large neural networks: poster.
Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

High Resolution Medical Image Segmentation Using Data-Swapping Method.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic GPU memory management for large neural models in TensorFlow.
Proceedings of the 2019 ACM SIGPLAN International Symposium on Memory Management, 2019

Large Data Flow Graphs in Limited GPU Memory.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method.
CoRR, 2018

TFLMS: Large Model Support in TensorFlow by Graph Rewriting.
CoRR, 2018

Involving CPUs into Multi-GPU Deep Learning.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

2016
A Systematic Approach to Regular-Expression-Based Queries on Big Graphs.
PhD thesis, 2016


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