Tsuguchika Tabaru

According to our database, Tsuguchika Tabaru authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

NEEBS: Nonexpert large-scale environment building system for deep neural network.

Yoshiharu Tajima, Masahiro Asaoka, Akihiro Tabuchi, Akihiko Kasagi, Tsuguchika Tabaru

Concurr. Comput. Pract. Exp., 2023

A novel structured sparse fully connected layer in convolutional neural networks.

Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Concurr. Comput. Pract. Exp., 2023

Optimization of NumPy Transcendental Functions for Arm SVE.

Fuyuka Yamada, Kentaro Kawakami, Kouji Kurihara, Kazuhito Matsuda, Tsuguchika Tabaru

Proceedings of the HPC Asia 2023 Workshops, 2023

2022

Accelerating LiNGAM Causal Discovery with Massive Parallel Execution on Supercomputer Fugaku.

Kazuhito Matsuda, Kouji Kurihara, Kentaro Kawakami, Masafumi Yamazaki, Fuyuka Yamada, Tsuguchika Tabaru, Ken Yokoyama

IEICE Trans. Inf. Syst., December, 2022

Structured Pruning with Automatic Pruning Rate Derivation for Image Processing Neural Networks.

Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru

Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks.

Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru, Atsuki Inoue, Hiroshi Kawaguchi

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Regularizing Data for Improving Execution Time of NLP Model.

Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing.

Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru

Proceedings of the Ninth International Symposium on Computing and Networking, 2021

The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.

Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

Efficient convolution pooling on the GPU.

Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru

J. Parallel Distributed Comput., 2020

An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs.

Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Huffman Coding with Gap Arrays for GPU Acceleration.

Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster.

Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds.

Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima

CoRR, 2019

Efficient cuDNN-Compatible Convolution-Pooling on the GPU.

Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration.

Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019

2017

Fast algorithm using summed area tables with unified layer performing convolution and average pooling.

Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2015

Design of a Shared Memory mechanism for efficient paralell processing in PostgreSQL.

Yoshifumi Ujibashi, Minoru Nakamura, Tsuguchika Tabaru, Takushi Hashida, Motoyuki Kawaba, Lilian Harada

Proceedings of the 6th International Conference on Information, 2015