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Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2020-09-10
13:30		 Online Online With GPU-FPGA Heterogeneous computing, Highly Effective Communication for Distributed Deep Learning
Kenji Tanaka, Yuki Arikawa, Tsuyoshi Ito, Kazutaka Morita, Naru Nemoto, Fumiaki Miura, Kazuhiko Terada, Junji Teramoto, Takashi Sakamoto (NTT) RECONF2020-19		 In distributed deep learning (DL), collective communication (Allreduce) used to share training results between GPUs is a... [more] RECONF2020-19
pp.1-6
CS, OCS
(Joint)		 2012-01-27
14:50		 Mie ISESHI-KANKOUBUNKAKAIKAN Demonstration of a 10G-EPON system which realizes high-speed transmission, higher splitting ratio, and power saving of ONU.
Tsuyoshi Ito, Hirotaka Ujikawa, Takashi Mitsui, Takayoshi Tashiro, Kazutaka Hara, Masashi Tadokoro, Susumu Nishihara, Noriyuki Oota, Takeshi Sakamoto, Ken-Ichi Suzuki (NTT), Hiroshi Sato, Yoshiaki Kojima, Hidenori Mori (NTT-AT), Naoto Yoshimoto (NTT) CS2011-96		 In this paper, requirements for 10G-EPON system based on system- level interoperability on GE-PON and 10G-EPON (SIEPON) ... [more] CS2011-96
pp.79-84
CS, OCS
(Joint)		 2010-01-28
11:45		 Yamaguchi Kaikyo Messe Shimonoseki A burst-mode transimpedance amplifier for 1G/10G-EPON systems -- Using quick, highly accurate automatic offset compensation technique --
Susumu Nishihara, Makoto Nakamura, Tsuyoshi Ito, Takeshi Kurosaki, Yusuke Ohtomo, Akira Okada (NTT Corp.) OCS2009-102		 This paper describes a 10G burst-mode transimpedance amplifier (TIA) featuring fast gain switching and accurate automati... [more] OCS2009-102
pp.13-17
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