Tung D. Le

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 9

Top Topics

Weakly Supervised

Federated Search

Restricted Boltzmann Machine

Top Venues

Publications

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)
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 (2020)
Geert Janssen, Vladimir Zolotov, Tung D. Le
Large Data Flow Graphs in Limited GPU Memory. IEEE BigData (2019)
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)
Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya
Automatic GPU memory management for large neural models in TensorFlow. ISMM (2019)
Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya
High Resolution Medical Image Segmentation Using Data-Swapping Method. MICCAI (3) (2019)
Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya
TFLMS: Large Model Support in TensorFlow by Graph Rewriting. CoRR (2018)
Tung D. Le, Taro Sekiyama, Yasushi Negishi, Haruki Imai, Kiyokuni Kawachiya
Involving CPUs into Multi-GPU Deep Learning. ICPE (2018)
Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method. CoRR (2018)