Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Harumichi Yokoyama"'
Publikováno v:
HPCC/SmartCity/DSS
Latent Dirichlet Allocation (LDA) is a widely used machine learning technique for topic modeling. The ever-growing size of training data and topic models has been attracting great attention to parallel LDA implementation. In this paper, we present VL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ae4c45628aac1c13bfe2f4851e5097
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00213
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00213
Publikováno v:
HPCC/SmartCity/DSS
Sparse matrix-sparse vector multiplication (spMspV) is one of the key linear algebra primitives for various graph algorithms. With sparse input/output vectors, it has superiority in computational efficiency over sparse matrix-dense vector multiplicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a823989c514d8971bfdc76719879c8e
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00038
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00038
Autor:
Satoru Yamashita, Yasushi Arimoto, Tamaki Yoshioka, Naoyuki Sumi, Naoki Nagakura, Harumichi Yokoyama, Ryo Katayama, Genki Tanaka, Tomoaki Sugino, Hirohiko M. Shimizu, T. Tomita, Nao Higashi, Tatsuhiro Yamada, Hideyuki Oide, Momoko Tanaka, K. Tauchi, Yoshihisa Iwashita, Hirochika Sumino, Akihisa Toyoda, K. Taketani, Y. Igarashi, Kenji Mishima, Hiroshi Matsumura, Takashi Ino, Hidetoshi Otono, Tatsushi Shima, Ryunosuke Kitahara, Risa Sakakibara, Masaaki Kitaguchi
Publikováno v:
Nuclear Instruments & Methods in Physics Research. Section A. 799:187-196
A new time projection chamber (TPC) was developed for neutron lifetime measurement using a pulsed cold neutron spallation source at the Japan Proton Accelerator Research Complex (J-PARC). Managing considerable background events from natural sources a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b65d9ec4d57ec8a2518468e44072e75a
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100795036
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100795036
Autor:
Harumichi Yokoyama, Takuya Araki
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Distributed machine learning is used to train large-scale models within a moderate amount of time. To accelerate the training, all nodes have to exchange calculation results frequently. However, the communication of the updated parameters is a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5410a72cf4305c32bea441aba4dbe30
https://doi.org/10.1109/uic-atc.2017.8397638
https://doi.org/10.1109/uic-atc.2017.8397638
Publikováno v:
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).
We developed a front-end ASIC amplifier of time projection chamber for an experiment to measure neutron lifetime. The precise determination of neutron lifetime is very important to understand the early universe in Big bang nucleosynthesis. The heat g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48dcdcca3b25c70c8a08034d76c71fd4
https://doi.org/10.1109/nssmic.2013.6829600
https://doi.org/10.1109/nssmic.2013.6829600