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Committee Date Time Place Paper Title / Authors Abstract Paper #
CPSY, DC, IPSJ-ARC
(Joint) [detail]		 2017-07-27
17:00		 Akita Akita Atorion-Building (Akita) A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning
Duo Zhang, Mingxi Li (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2017-29		 For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are requi... [more] CPSY2017-29
pp.145-150
CPSY, DC, IPSJ-ARC
(Joint) [detail]		 2016-08-09
11:15		 Nagano Kissei-Bunka-Hall (Matsumoto) A simulation study on fault tolerancy of parallel machine learning systems with parameter servers
Mingxi Li (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2016-20 DC2016-17		 Parallel computation is essential for machine learning systems to be more faster.
There are two techniques to build par... [more]		 CPSY2016-20 DC2016-17
pp.125-130(CPSY), pp.1-6(DC)
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