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ORCIDTsuguchika Tabaru
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2020 – today
- 2023
[j4]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)- [j3]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) - [c14]Fuyuka Yamada, Kentaro Kawakami, Kouji Kurihara, Kazuhito Matsuda, Tsuguchika Tabaru:
Optimization of NumPy Transcendental Functions for Arm SVE. HPC Asia Workshops 2023: 50-54 - 2022
- [j2]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. 105-D(12): 2032-2039 (2022) - [c13]Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi:
Regularizing Data for Improving Execution Time of NLP Model. FLAIRS 2022 - [c12]Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru, Atsuki Inoue, Hiroshi Kawaguchi:
Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks. ICPR 2022: 2561-2567 - [c11]Yasufumi Sakai, Akinori Iwakawa, Tsuguchika Tabaru:
Structured Pruning with Automatic Pruning Rate Derivation for Image Processing Neural Networks. ISMSI 2022: 100-104 - 2021
- [c10]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: 152-161 - [c9]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: 108-113 - [c8]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: 33-45 - [i2]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 abs/2110.11466 (2021) - 2020
- [j1]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: 222-229 (2020) - [c7]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: 203-207 - [c6]Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru:
Huffman Coding with Gap Arrays for GPU Acceleration. ICPP 2020: 1:1-1:11 - [c5]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: 548-556
2010 – 2019
- 2019
- [c4]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: 148-154 - [c3]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: 46-58 - [i1]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 abs/1903.12650 (2019) - 2017
- [c2]Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura:
Fast algorithm using summed area tables with unified layer performing convolution and average pooling. MLSP 2017: 1-6 - 2015
- [c1]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: 1-6
Coauthor Index
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