Tsuguchika Tabaru

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Benchmark Suite

Pruning Algorithms

Fully Connected

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
A novel structured sparse fully connected layer in convolutional neural networks. Concurr. Comput. Pract. Exp. 35 (11) (2023)
Fuyuka Yamada, Kentaro Kawakami, Kouji Kurihara, Kazuhito Matsuda, Tsuguchika Tabaru
Optimization of NumPy Transcendental Functions for Arm SVE. HPC Asia Workshops (2023)
Yoshiharu Tajima, Masahiro Asaoka, Akihiro Tabuchi, Akihiko Kasagi, Tsuguchika Tabaru
NEEBS: Nonexpert large-scale environment building system for deep neural network. Concurr. Comput. Pract. Exp. 35 (19) (2023)
Kazuhito Matsuda, Kouji Kurihara, Kentaro Kawakami, Masafumi Yamazaki, Fuyuka Yamada, Tsuguchika Tabaru, Ken Yokoyama
Accelerating LiNGAM Causal Discovery with Massive Parallel Execution on Supercomputer Fugaku. IEICE Trans. Inf. Syst. (12) (2022)
Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru, Atsuki Inoue, Hiroshi Kawaguchi
Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks. ICPR (2022)
Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru
Structured Pruning with Automatic Pruning Rate Derivation for Image Processing Neural Networks. ISMSI (2022)
Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi
Regularizing Data for Improving Execution Time of NLP Model. FLAIRS (2022)
Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru
Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing. CANDAR (2021)
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
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)
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
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR (2021)
Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. HiPC (2021)
Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster. HPDC (2020)
Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs. IPDPS Workshops (2020)
Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
Efficient convolution pooling on the GPU. J. Parallel Distributed Comput. 138 (2020)
Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru
Huffman Coding with Gap Arrays for GPU Acceleration. ICPP (2020)
Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds. CoRR (2019)
Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
Efficient cuDNN-Compatible Convolution-Pooling on the GPU. PPAM (2) (2019)
Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration. CANDAR Workshops (2019)
Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura
Fast algorithm using summed area tables with unified layer performing convolution and average pooling. MLSP (2017)
Yoshifumi Ujibashi, Minoru Nakamura, Tsuguchika Tabaru, Takushi Hashida, Motoyuki Kawaba, Lilian Harada
Design of a Shared Memory mechanism for efficient paralell processing in PostgreSQL. IISA (2015)