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Your search keyword '"Kudoh, Tomohiro"' showing total 29 results
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29 results on '"Kudoh, Tomohiro"'

1. mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations

Author

Suzumura, Toyotaro, Sugiki, Akiyoshi, Takizawa, Hiroyuki, Imakura, Akira, Nakamura, Hiroshi, Taura, Kenjiro, Kudoh, Tomohiro, Hanawa, Toshihiro, Sekiya, Yuji, Kobayashi, Hiroki, Matsushima, Shin, Kuga, Yohei, Nakamura, Ryo, Jiang, Renhe, Kawase, Junya, Hanai, Masatoshi, Miyazaki, Hiroshi, Ishizaki, Tsutomu, Shimotoku, Daisuke, Miyamoto, Daisuke, Aida, Kento, Takefusa, Atsuko, Kurimoto, Takashi, Sasayama, Koji, Kitagawa, Naoya, Fujiwara, Ikki, Tanimura, Yusuke, Aoki, Takayuki, Endo, Toshio, Ohshima, Satoshi, Fukazawa, Keiichiro, Date, Susumu, and Uchibayashi, Toshihiro

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability to couple with supercomputers and edge devices through high-performance networks. We have built such a nation-wide cloud platform, called "mdx" to meet this need. The mdx platform's virtualization service, jointly operated by 9 national universities and 2 national research institutes in Japan, launched in 2021, and more features are in development. Currently mdx is used by researchers in a wide variety of domains, including materials informatics, geo-spatial information science, life science, astronomical science, economics, social science, and computer science. This paper provides an the overview of the mdx platform, details the motivation for its development, reports its current status, and outlines its future plans.

Published
2022

2. Perturbative GAN: GAN with Perturbation Layers

Author

Kishi, Yuma, Ikegami, Tsutomu, O'uchi, Shin-ichi, Takano, Ryousei, Nogami, Wakana, and Kudoh, Tomohiro

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.) with perturbation layers that adds a fixed noise mask, is proposed. Compared with the convolu-tional GANs, the number of parameters to be trained is smaller, the convergence of training is faster, the incep-tion score of generated images is higher, and the overall training cost is reduced. Algorithmic generation of the noise masks is also proposed, with which the training, as well as the generation, can be boosted with hardware acceleration. Perturbative GAN is evaluated using con-ventional datasets (CIFAR10, LSUN, ImageNet), both in the cases when a perturbation layer is adopted only for Generators and when it is introduced to both Generator and Discriminator.

Published
2019

3. Deep Learning on High Performance FPGA Switching Boards: Flow-in-Cloud

Author

Musha, Kazusa, Kudoh, Tomohiro, Amano, Hideharu, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Voros, Nikolaos, editor, Huebner, Michael, editor, Keramidas, Georgios, editor, Goehringer, Diana, editor, Antonopoulos, Christos, editor, and Diniz, Pedro C., editor

Published
2018
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6. mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations

Author

Suzumura, Toyotaro, primary, Sugiki, Akiyoshi, additional, Takizawa, Hiroyuki, additional, Imakura, Akira, additional, Nakamura, Hiroshi, additional, Taura, Kenjiro, additional, Kudoh, Tomohiro, additional, Hanawa, Toshihiro, additional, Sekiya, Yuji, additional, Kobayashi, Hiroki, additional, Kuga, Yohei, additional, Nakamura, Ryo, additional, Jiang, Renhe, additional, Kawase, Junya, additional, Hanai, Masatoshi, additional, Miyazaki, Hiroshi, additional, Ishizaki, Tsutomu, additional, Shimotoku, Daisuke, additional, Miyamoto, Daisuke, additional, Aida, Kento, additional, Takefusa, Atsuko, additional, Kurimoto, Takashi, additional, Sasayama, Koji, additional, Kitagawa, Naoya, additional, Fujiwara, Ikki, additional, Tanimura, Yusuke, additional, Aoki, Takayuki, additional, Endo, Toshio, additional, Ohshima, Satoshi, additional, Fukazawa, Keiichiro, additional, Date, Susumu, additional, and Uchibayashi, Toshihiro, additional

Published
2022
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23. From FLOPS to BYTES

Author

Matsuoka, Satoshi, primary, Amano, Hideharu, additional, Nakajima, Kengo, additional, Inoue, Koji, additional, Kudoh, Tomohiro, additional, Maruyama, Naoya, additional, Taura, Kenjiro, additional, Iwashita, Takeshi, additional, Katagiri, Takahiro, additional, Hanawa, Toshihiro, additional, and Endo, Toshio, additional

Published
2016
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27. A recursive orchestration and control framework for large-scale, federated SDN experiments: the FELIX architecture and use cases

Author

Fernandez, Carolina, primary, Bermudo, Carlos, additional, Carrozzo, Gino, additional, Monno, Roberto, additional, Belter, Bartosz, additional, Pentikousis, Kostas, additional, Toseef, Umar, additional, Kudoh, Tomohiro, additional, Takefusa, Atsuko, additional, Haga, Jason, additional, Puype, Bart, additional, and Tanaka, Jin, additional

Published
2015
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29. Molecular insights into the non-recombining nature of the spinach male-determining region.

Author

Kudoh T, Takahashi M, Osabe T, Toyoda A, Hirakawa H, Suzuki Y, Ohmido N, and Onodera Y

Subjects
Base Sequence, Chromosomes, Artificial, Bacterial genetics, Flowers genetics, Genes, Plant genetics, Genetic Markers genetics, Ovule genetics, Pollen genetics, Repetitive Sequences, Nucleic Acid, Chromosome Mapping methods, Chromosomes, Plant genetics, Genome, Plant genetics, Spinacia oleracea genetics
Abstract

Spinach (Spinacia oleracea L.) is a dioecious plant with male heterogametic sex determination and homomorphic sex chromosomes (XY). The dioecism is utilized for producing commercial hybrid seeds, and hence understanding the molecular-genetic basis of the species' sex determining locus is an important issue for spinach breeding. In this study, seven dominant DNA markers were shown to completely co-segregate with the male-determining gene in segregating spinach populations comprising > 1500 plants. In addition, these seven dominant DNA markers were completely associated with the male-determining gene in over 100 spinach germplasm accessions and cultivars. These observations suggest that, in spinach, a Y-chromosomal region around the male-determining locus does not (or almost not) recombine with a counterpart region on the X chromosome. Using five of the seven DNA markers, five bacterial artificial chromosome (BAC) clone contigs with a total length of approximately 690 kbp were constructed. Full sequencing of six representative BAC clones (total insert length 504 kbp) from the five contigs and a transcriptome analysis by RNA-seq revealed that the Y-chromosomal region around the male-determining locus contains large amounts of repetitive elements, suggesting that the region might be poor in gene content. Most of the repeats found in this region are novel Ty1-copia-like and its derivative elements that accumulate predominantly in heterochromatic regions. Our findings may provide valuable insight into spinach genome structure and clues for future research into the evolution of the sex determining locus.

Published
2018
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