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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2018-08-01 15:45 |
Kumamoto | Kumamoto City International Center | Asynchronous Deep Learning Test-bed to Analyze Gradient Staleness Effect Duo Zhang (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST)  CPSY2018-27 |
For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are requi... [more] | CPSY2018-27 pp.199-204 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2018-08-01 16:15 |
Kumamoto | Kumamoto City International Center | Adaptation of Ray, a distributed framework for machine learning, to MPI-based environment Tianlun Wang (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada (AIST) CPSY2018-28 |
Ray is a distributed framework for machine learning that targets reinforcement learning using multiple nodes. While it w... [more] | CPSY2018-28 pp.205-210 |
| PRMU, BioX | 2018-03-18 16:10 |
Tokyo | Toward image inbetweening using Latent Model Paulino Cristovao (Univ. of Tsukuba), Yusuke Tanimura, Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-49 PRMU2017-185 |
Image interpolation is a well known problem in computer vision. Many approaches are restricted to optical flow and convo... [more] | BioX2017-49 PRMU2017-185 pp.79-84 |
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| 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] |
2016-08-08 17:30 |
Nagano | Kissei-Bunka-Hall (Matsumoto) | Toward improving I/O performance of Spark RDD Kaihui Zhang (Tsukuba Univ.), Yusuke Tanimura, Hidemoto Nakada, Hirotaka Ogawa (AIST) CPSY2016-16 |
[more] | CPSY2016-16 pp.77-82 |
| 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) |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2015-08-05 17:00 |
Oita | B-Con Plaza (Beppu) | An Implementation of the Master-Worker based Parameter Server and its Application to BESOM Meigi Rei (U of Tsukuba), Yusuke Tanimura, Yuuji Ichisugi, Hidemoto Nakada (AIST) CPSY2015-33 |
We have been proposing a computational model of the cerebral cortex called BESOM. BESOMmodels the cerebral cortex as Bay... [more] | CPSY2015-33 pp.179-184 |
| NS, IN (Joint) |
2015-03-03 13:20 |
Okinawa | Okinawa Convention Center | Implementation of a Hierarchical Multi-granular Path Network Resource Management System Atsuko Takefusa (AIST), Kenji Minato (NTT), Kiyo Ishii, Yusuke Tanimura (AIST), Norio Sakaida (NTT), Katsuhiko Ohkubo, Toshiyuki Shimizu, Tomohiro Kudoh (AIST) NS2014-246 |
Optical path network technology enables accommodation of large amount of data traffic with low consumption power. In or... [more] |
NS2014-246 pp.403-408 |
| CS | 2010-11-12 10:30 |
Ishikawa | Wakura Hot Spring | * Kazuhisa Yamada, Yukio Tsukishima, Kazuhiro Matsuda (NTT), Yusuke Tanimura, Tomohiro Kudoh, Atsuko Takefusa, Ryousei Takano (AIST), Takashi Shimizu (NTT) CS2010-49 |
This paper proposes system architecture and a joint storage-network resource management for super high-definition video ... [more] | CS2010-49 pp.71-76 |
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