A Portable Communication System for Video-On-Demand Applications Using the Existing Infrastructure. - Yasushi Negishi; Kiyokuni Kawachiya; Kazuya Tago (INFOCOM, 1996)

Efficient Error Correction Code Configurations for Quasi-Nonvolatile Data Retention by DRAMs. - Yasunao Katayama; Yasushi Negishi; Sumio Morioka (DFT, 2000)

A Holistic Approach towards Automated Performance Analysis and Tuning. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (Euro-Par, 2009)

A proposal of operation history management system for source-to-source optimization of HPC programs. - Yasushi Negishi; Hiroki Murata; Takao Moriyama (PADTAD, 2009)

Application tuning through bottleneck-driven refactoring. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (IPDPS Workshops, 2010)

Overlapping Methods of All-to-All Communication and FFT Algorithms for Torus-Connected Massively Parallel Supercomputers. - Jun Doi; Yasushi Negishi (SC, 2010)

Tool-assisted Optimization of Shared-memory Accesses in UPC Applications. - Guojing Cong; Hui-Fang Wen; Hiroki Murata; Yasushi Negishi (HPCC-ICESS, 2012)

An Efficient Framework for Multi-dimensional Tuning of High Performance Computing Applications. - Guojing Cong; Hui-Fang Wen; I-Hsin Chung; David J. Klepacki; Hiroki Murata; Yasushi Negishi (IPDPS, 2012)

A static analysis tool using a three-step approach for data races in HPC programs. - Yasushi Negishi; Hiroki Murata; Guojing Cong; Hui-Fang Wen; I-Hsin Chung (PADTAD, 2012)

A Systematic Approach toward Automated Performance Analysis and Tuning. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (IEEE Trans. Parallel Distributed Syst., 2012)

An event-processing system alerting analytically to networked vehicles. - Haruki Imai; Kumiko Maeda; Tatsuhiro Chiba; Yasushi Negishi; Akira Koseki; Toru Aihara; Hideaki Komatsu (ITSC, 2013)

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)

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)