Tsuguchika Tabaru

22 papers A 1B 2Misc 2Journal 8Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models. CoRR Istabrak Abbes, Gopeshh Subbaraj, Matthew Riemer, Nizar Islah, Benjamin Thérien, Tsuguchika Tabaru, Hiroaki Kingetsu, Sarath Chandar, Irina Rish
2024	J	`jnl`	Direct Quantized Training of Language Models with Stochastic Rounding. CoRR Kaiyan Zhao, Tsuguchika Tabaru, Kenichi Kobayashi, Takumi Honda, Masafumi Yamazaki, Yoshimasa Tsuruoka
2023	J	`jnl`	A novel structured sparse fully connected layer in convolutional neural networks. Concurr. Comput. Pract. Exp. Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2023	J	`jnl`	NEEBS: Nonexpert large-scale environment building system for deep neural network. Concurr. Comput. Pract. Exp. Yoshiharu Tajima, Masahiro Asaoka, Akihiro Tabuchi, Akihiko Kasagi, Tsuguchika Tabaru
2023	—	`conf`	Optimization of NumPy Transcendental Functions for Arm SVE. HPC Asia Workshops Fuyuka Yamada, Kentaro Kawakami, Kouji Kurihara, Kazuhito Matsuda, Tsuguchika Tabaru
2022	J	`jnl`	Accelerating LiNGAM Causal Discovery with Massive Parallel Execution on Supercomputer Fugaku. IEICE Trans. Inf. Syst. Kazuhito Matsuda, Kouji Kurihara, Kentaro Kawakami, Masafumi Yamazaki, Fuyuka Yamada, Tsuguchika Tabaru, Ken Yokoyama
2022	B	`conf`	Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks. ICPR Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru, Atsuki Inoue, Hiroshi Kawaguchi
2022	Misc	`conf`	Regularizing Data for Improving Execution Time of NLP Model. FLAIRS Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi
2022	—	`conf`	Structured Pruning with Automatic Pruning Rate Derivation for Image Processing Neural Networks. ISMSI Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru
2021	—	`conf`	Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing. CANDAR Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru
2021	J	`jnl`	MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
2021	—	`conf`	MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
2021	Misc	`conf`	The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. HiPC Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato
2020	—	`conf`	An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs. IPDPS Workshops Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2020	A	`conf`	An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster. HPDC Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
2020	J	`jnl`	Efficient convolution pooling on the GPU. J. Parallel Distributed Comput. Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
2020	B	`conf`	Huffman Coding with Gap Arrays for GPU Acceleration. ICPP Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru
2019	—	`conf`	Efficient cuDNN-Compatible Convolution-Pooling on the GPU. PPAM (2) Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
2019	—	`conf`	Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration. CANDAR Workshops Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2019	J	`jnl`	Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds. CoRR Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
2017	—	`conf`	Fast algorithm using summed area tables with unified layer performing convolution and average pooling. MLSP Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura
2015	—	`conf`	Design of a Shared Memory mechanism for efficient paralell processing in PostgreSQL. IISA Yoshifumi Ujibashi, Minoru Nakamura, Tsuguchika Tabaru, Takushi Hashida, Motoyuki Kawaba, Lilian Harada