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Tung D. Le
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2020 – today
- 2020
- [c6]Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing. IEEE BigData 2020: 1111-1116 - [i4]Tung D. Le, Gheorghe-Teodor Bercea, Tong Chen, Alexandre E. Eichenberger, Haruki Imai, Tian Jin, Kiyokuni Kawachiya, Yasushi Negishi, Kevin O'Brien:
Compiling ONNX Neural Network Models Using MLIR. CoRR abs/2008.08272 (2020)
2010 – 2019
- 2019
- [c5]Geert Janssen, Vladimir Zolotov, Tung D. Le:
Large Data Flow Graphs in Limited GPU Memory. IEEE BigData 2019: 1821-1830 - [c4]Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
Automatic GPU memory management for large neural models in TensorFlow. ISMM 2019: 1-13 - [c3]Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
High Resolution Medical Image Segmentation Using Data-Swapping Method. MICCAI (3) 2019: 238-246 - [c2]Yuki Ito, Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based out-of-core hybrid method for large neural networks: poster. PPoPP 2019: 399-400 - [i3]Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based Out-of-core Hybrid Method for Large Neural Networks. CoRR abs/1907.05013 (2019) - 2018
- [c1]Tung D. Le, Taro Sekiyama, Yasushi Negishi, Haruki Imai, Kiyokuni Kawachiya:
Involving CPUs into Multi-GPU Deep Learning. ICPE 2018: 56-67 - [i2]Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
TFLMS: Large Model Support in TensorFlow by Graph Rewriting. CoRR abs/1807.02037 (2018) - [i1]Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method. CoRR abs/1812.07816 (2018) - 2016
- [b1]Tung D. Le:
A Systematic Approach to Regular-Expression-Based Queries on Big Graphs. Graduate University for Advanced Studies, Japan, 2016
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