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J-GLOBAL ID:202002270129042460   Reference number:20A2780054

Estimation of Calculation Time of Iterative Linear Equation Solvers Using Deep Learning - Proposal of Learning Model and its Feasibility Evaluation -

深層学習による反復法線形方程式ソルバの計算時間推定 -学習モデルの提案と適用性評価-
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Volume: 2020  Issue:Page: 20201001(J-STAGE)  Publication year: 2020 
JST Material Number: U0063A  ISSN: 1347-8826  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Numerical computation 
Reference (19):
  • (1) Katagiri, T., Kise, K., Honda, H. and Yuba, T., ABCLibScript: A directive to support specification of an auto-tuning facility for numerical software, Parallel Computing, 32-1, 2006, pp. 92-112.
  • (2) Ansel, J., Kamil, S., Veeramachaneni, K., Ragan-Kelley, J., Bosboom, J., O’Reilly, U.M. and Amarasinghe, S., Opentuner: An extensible framework for program autotuning, Proceedings of the 23rd international conference on Parallel architectures and compilation, ACM, 2014, pp. 303-316.
  • (3) Kamil, S., Chan, C., Oliker, L., Shalf, J. and Williams, S., An auto-tuning framework for parallel multicore stencil computations, <i>IEEE International Symposium on Parallel & Distributed Processing</i>, IEEE, 2010, pp. 1-12.
  • (4) 岡谷貴之, 深層学習 (機械学習プロフェッショナルシリーズ), 講談社, 2015.
  • (5) Bishop, C.M., パターン認識と機械学習 上, 丸善出版, 2017.
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