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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Real-time workload allocation optimizer for computing systems by using deep learning
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka (Osaka Univ.)
 [more]
RCS, NS
(Joint)
2018-12-20
11:20
Hiroshima Onomichi City Hall [Encouragement Talk] Dynamic power consumption prediction and optimization of data center by using deep learning and computational fluid dynamics
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka (Osaka Univ.) NS2018-159
Simply by using computational fluid dynamics (CFD) and a power consumption model incorporating each piece of equipment i... [more] NS2018-159
pp.17-22
NS 2018-05-17
11:15
Kanagawa Yokohama City Education Center Dynamic power consumption prediction of data center by using deep learning and computational fluid dynamics
Hayato Kuwahara, Ying-Feng Hsu (Osaka Univ.), Kazuhiro Matsuda (NTT-AT), Morito Matsuoka (Osaka Univ.) NS2018-18
In this paper, simply by using computational fluid dynamics (CFD) and a power consumption model incorporating each piece... [more] NS2018-18
pp.19-24
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