hpc2016

回	日付	担当	発表資料	文献
1	09/23	(ガイダンス)
2	09/30	(Lecture)
3	10/04	大山	hpc2016_oyama_2.pdf	ipdps16.pdf
4	10/11	小林	HPC2016_kobayashi2.pdf	LimitedPrecisionDL.pdf
5	10/14	後藤	hpc2016_goto_v2.pdf	AbinitioMDwithML.pdf
6	10/18	津野	HPC2016_Tsuno.pdf	Understaing-GPU-Errors.pdf
7	10/21	辻	hpc2016_tsuji.pdf	ako.pdf
8	10/25	大沢	HPC2016_Osawa_2.pdf	5-cui.pdf
9	10/28	伊藤	hpc2016_ito.pdf	VirtualizedDNN.pdf
	11/01	Cancel
10	11/04	長沼	hpc2016_naganuma.pdf	Large-scaleLogisticRegression.pdf
11	11/08	関谷	HPC2016_sekiya_1.pdf	Randomization.pdf
12	11/11	関谷	HPC2016_sekiya_2_v2.pdf
	11/22	Cancel
13	11/25	大山
13	11/25	小林

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選択済み論文リスト Selected Papers List †

S. Sallinen, N. Satish, M. Smelyanskiy, S. Sury, C. Re. High Performance Parallel Stochastic Gradient Descent in Shared Memory. IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2016.
H. Cui, H. Zhang, G. R. Ganger, P. B. Gibbons, and E. P. Xing. Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server. In Proceedings of the Eleventh European Conference on Computer Systems, EuroSys? ’16, pages 4:1?4:16, New York, NY, USA, 2016. ACM.
J. K. Kim, Q. Ho, S. Lee, X. Zheng, W. Dai, G. A. Gibson, and E. P. Xing. Strads: A distributed framework for scheduled model parallel machine learning. In Proceedings of the Eleventh European Conference on Computer Systems, EuroSys? ’16, pages 5:1?5:16, New York, NY, USA, 2016. ACM.
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan and Pritish Narayanan: Deep Learning with Limited Numerical Precision. Proceedings of the 32nd International Conference on Machine Learning (ICML-15)
Trishul Chilimbi, Yutaka Suzue, Johnson Apacible, and Karthik Kalyanaraman, Microsoft Research: Project Adam: Building an Efficient and Scalable Deep Learning Training System. the Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI14)
Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung: ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines. Parallel and Distributed Processing Symposium, 2016 IEEE International (IPDPS 2016)

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最新の20件

大規模計算論 High Performance Computing †

目次 †

休講予定日 Lecture Cancelled †

授業概要と参考資料 Guidance and References †

発表スケジュール Schedule †

選択済み論文リスト Selected Papers List †

リンク Links †