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#author("2018-12-20T06:51:03+00:00","","") #author("2018-12-20T06:52:08+00:00","","") [[MatsuLab. Lecture Note]] * 大規模計算論 High Performance Computing [#g6337a39] ** OCW [#ee734883] - [[H30年度 | 大規模計算論 - TOKYO TECH OCW>http://www.ocw.titech.ac.jp/index.php?module=General&action=T0300&GakubuCD=4&GakkaCD=342222&KeiCD=22&course=22&KougiCD=201804057&Nendo=2018&lang=JA&vid=03]] ** Date & Room [#d094137f] - December 5 (Wed) (Orientation) -- Period 3-4 (10:45-12:15), 5-6 (13:20-14:50) @ H116 - December 18 (Tue) -- Period 1-4 (9:00-12:15), 5-8 (13:20-16:35) @ S518 - December 19 (Wed) -- Period 1-4 (9:00-12:15) ＠ S518 - December 20 (Thu) -- Period 1-4 (9:00-12:15), 5-8 (13:20-16:35) ＠ H117 - %% January 7 (Mon) (Extra time slot) %% -- %% Period 1-4 (9:00-12:15) ＠ W832 %% ** Contact [#s2281ad2] |松岡特任教授 (Prof. S.Matsuoka) | matsu [at] is.titech.ac.jp | |TA 大山 (Y.Oyama) | oyama.[The first character of the first name in lower case].aa [at] m.titech.ac.jp | &color(red,white){メーリングリストに追加しますので、至急TAまでメールを送ってください。Please email to Oyama (TA) as soon as possible in order to add you to the mailing list.}; // &color(red,white){メーリングリストに追加しますので、至急TAまでメールを送ってください。Please email to Oyama (TA) as soon as possible in order to add you to the mailing list.}; **目次 [#j532edb8] #contents **授業概要と参考資料 Guidance and References [#ha180204] -ガイダンス資料/Guidance：&ref("hpc2018_guidance.pdf"); **発表スケジュール Schedule [#n9a6672a] &color(red,white){暫定的な割り当ては以下の通りですが、都合が悪い場合はTAまで希望日をメールしてください。}; // &color(red,white){暫定的な割り当ては以下の通りですが、都合が悪い場合はTAまで希望日をメールしてください。}; |CENTER:|CENTER:|CENTER:|LEFT:|c |Date|Presenter|Slides|Paper| |12/05|(Orientation)|&ref("hpc2018_guidance_slides.pdf");|| |12/05||&ref(hpc2017/GTC2016_RNN_Performance.pptx,,,RNN,);, &ref(hpc2017/pascal-DL.pptx,,,DL);|| |12/18|Yashima|&ref(yashima.pdf);|[[A Bayesian Perspective on Generalization and Stochastic Gradient Descent>https://openreview.net/forum?id=BJij4yg0Z¬eId=BJij4yg0Z]]| |12/19|Tsuchikawa|&ref(tsuchikawa.pdf);|[[Deep learning at 15PF: supervised and semi-supervised classification for scientific data>https://doi.org/10.1145/3126908.3126916]]| |12/19|Lingqi|&ref(linqi.pdf);|[[Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs>https://doi.org/10.1109/SC.2016.53]]| |12/20|Ryan|&ref(barton.pdf);|[[Training distributed deep recurrent neural networks with mixed precision on GPU clusters>https://doi.org/10.1145/3146347.3146358]]| |12/20|Mateusz|&ref(mateusz.pdf);|[[CosmoFlow: using deep learning to learn the universe at scale>https://dl.acm.org/citation.cfm?id=3291743]]| |TBD|Chen|TBD|[[Efficient Sparse-Winograd Convolutional Neural Networks>https://openreview.net/forum?id=HJzgZ3JCW]]| ** 論文リスト Papers List [#xf8bcff6] - [[論文リスト>https://docs.google.com/spreadsheets/d/1zdfogaNdAY9fej-8rv76UU_Ip09-EDDo7sTfMiTMiMI]] //**期末レポート Report //- &color(red,white){期限 Due date: TBA}; //- Summarize the general topic covering and including ALL THREE PAPERS regarding the state of the art in HPC and Big Data convergence. //- It should be 10 pages in [[IEEE conference paper format>http://www.ieee.org/conferences_events/conferences/publishing/templates.html]] //- Please submit it to TA by email &color(red,white){(NOT mailing list)}; **リンク Links [#tdc564e8] -[[ACM/IEEE Supercomputing>http://www.supercomp.org]] -[[IEEE IPDPS>http://www.ipdps.org]] -[[IEEE HPDC>http://www.hpdc.org/]] -[[ACM International Conference on Supercomputing (ICS)>http://www.ics-conference.org/]] -[[ISC>http://www.isc-events.com/]] -[[IEEE Cluster Computing>http://www.clustercomp.org/]] -[[IEEE/ACM Grid Computing>http://www.gridcomputing.org/]] -[[IEEE/ACM CCGrid>http://www.buyya.com/ccgrid/]] -[[IEEE Big Data>http://cci.drexel.edu/bigdata/bigdata2015/]] -[[CiteSeer.IST>http://citeseer.ist.psu.edu]] -[[Google Scholar>http://scholar.google.com]] -[[Windows Live Academic>http://academic.live.com]] -[[The ACM Degital Library>http://dl.acm.org/]]
