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Committee Date Time Place Paper Title / Authors Abstract Paper #
MoNA 2017-12-21
15:20		 Tokyo Ochanomizu University Consideration on the Structure of Real-time Video Analysis Framework using Kafka and Spark Streaming
Ayae Ichinose (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) MoNA2017-39		 As the use of various sensors and cloud computing technologies has spread, many life-log analysis applications for safet... [more] MoNA2017-39
pp.59-63
DE 2016-09-13
16:10		 Kanagawa Keio Univ. (Hiyoshi Campus) Performance Analysis of MapReduce Shuffling
Harunobu Daikoku, Hideyuki Kawashima, Osamu Tatebe (Univ. Tsukuba) DE2016-15		 This paper analyzes shuffling performance of Apache Spark, which is one of the most popular MapReduce implementations in... [more] DE2016-15
pp.19-24
SC 2015-03-28
10:55		 Fukushima Aizu Univ. Parallel Processing of Large-Scale Graphs Using Spark on GPGPU
Yuki Inamoto, Mikio Aoyama (Nanzan Univ.) SC2014-19		 We propose a high performance computing method for large-scale graphs using the Spark on GPGPU. RDD, multiple sets of ab... [more] SC2014-19
pp.31-36
MSS 2015-03-05
15:30		 Ishikawa IT Business Plaza Musashi Code clone detection using parallel distributed processing for software revision history
Shin Chadani, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2014-94		 In software development with a version control system, code clones detected from the version history of the code can be ... [more] MSS2014-94
pp.19-24
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