A Systematic Approach to Regular-Expression-Based Queries on Big Graphs. - Tung D. Le (2016)

Involving CPUs into Multi-GPU Deep Learning. - Tung D. Le; Taro Sekiyama; Yasushi Negishi; Haruki Imai; Kiyokuni Kawachiya (ICPE, 2018)

TFLMS: Large Model Support in TensorFlow by Graph Rewriting. - Tung D. Le; Haruki Imai; Yasushi Negishi; Kiyokuni Kawachiya (CoRR, 2018)

Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method. - Haruki Imai; Samuel Matzek; Tung D. Le; Yasushi Negishi; Kiyokuni Kawachiya (CoRR, 2018)

Large Data Flow Graphs in Limited GPU Memory. - Geert Janssen; Vladimir Zolotov; Tung D. Le (IEEE BigData, 2019)

Automatic GPU memory management for large neural models in TensorFlow. - Tung D. Le; Haruki Imai; Yasushi Negishi; Kiyokuni Kawachiya (ISMM, 2019)

High Resolution Medical Image Segmentation Using Data-Swapping Method. - Haruki Imai; Samuel Matzek; Tung D. Le; Yasushi Negishi; Kiyokuni Kawachiya (MICCAI (3), 2019)

Profiling based out-of-core hybrid method for large neural networks: poster. - Yuki Ito; Haruki Imai; Tung D. Le; Yasushi Negishi; Kiyokuni Kawachiya; Ryo Matsumiya; Toshio Endo (PPoPP, 2019)

Profiling based Out-of-core Hybrid Method for Large Neural Networks. - Yuki Ito; Haruki Imai; Tung Le Duc; Yasushi Negishi; Kiyokuni Kawachiya; Ryo Matsumiya; Toshio Endo (CoRR, 2019)

Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing. - Haruki Imai; Tung D. Le; Yasushi Negishi; Kiyokuni Kawachiya (IEEE BigData, 2020)

Compiling ONNX Neural Network Models Using MLIR. - Tung D. Le; Gheorghe-Teodor Bercea; Tong Chen 001; Alexandre E. Eichenberger; Haruki Imai; Tian Jin; Kiyokuni Kawachiya; Yasushi Negishi; Kevin O'Brien (CoRR, 2020)