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Art
J-GLOBAL ID:201702270075934918   Reference number:17A1652868

Improvement of speed using low precision arithmetic in deep learning and performance evaluation of accelerator

深層学習における低精度演算を用いた高速化及びアクセラレーターの性能評価
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Material:
Volume: 117  Issue: 238(PRMU2017 63-100)  Page: 101-107  Publication year: Oct. 05, 2017
JST Material Number: S0532B  ISSN: 0913-5685  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Artificial intelligence  ,  Arithmetic systems 
Reference (20):
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  • J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei., ′′ImageNet: A large-scale hierarchical im-age database.′′, Proc. Computer Vision and Pattern Recognition, pp. 2 - 9, 2009
  • O. Russakovsky, J. Deng, H. Su, et al. , ′′ImageNet Large Scale Visual Recognition Challenge′′, Interna-tional Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, 2015.
  • S. Han, J. Pool, J. Tran, W. Dally, ′′Learning both weights and connections for efficient neural net-works.′′, Proc. Neural Information Processing Sys-tems'15, pp. 1135-1143 , 2015.
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