SCIENTIA SINICA Informationis, Volume 49 , Issue 3 : 334-341(2019) https://doi.org/10.1360/N112018-00278

Domain-specific architectures driven by deep learning

More info
  • ReceivedOct 18, 2018
  • AcceptedDec 12, 2018
  • PublishedMar 19, 2019


Funded by


感谢John L. GUSTAFSON 教授专门为本文制作了图4.


[1] Ma L W, Intel Corporation. Method and apparatus for a binary neural network mapping scheme utilizing a gate array architecture. PCT/CN2016/112721. Google Scholar

[2] Beating Floating Point at its Own Game: Posit Arithmetic. JSFI, 2017, 4 CrossRef Google Scholar

[3] Lindstrom P, Lloyd S, Hittinger J. Universal coding of the reals: alternatives to IEEE floating point. In: Proceedings of the Conference for Next Generation Arithmetic. New York: ACM, 2018. Google Scholar

[4] Langroudi S H F, Pandit T, Kudithipudi D. Deep learning inference on embedded devices: fixed-point vs posit. 2018,. arXiv Google Scholar

[5] Johnson J. Rethinking floating point for deep learning. 2018,. arXiv Google Scholar