Memory Access Driven Memory Layout and Block Replacement Techniques for Compressed Deep Neural Networks. Ahn, B. & Kim, T. In SoCC, pages 221-226, 2018. IEEE.
Memory Access Driven Memory Layout and Block Replacement Techniques for Compressed Deep Neural Networks. [link]Link  Memory Access Driven Memory Layout and Block Replacement Techniques for Compressed Deep Neural Networks. [link]Paper  bibtex   
@inproceedings{conf/socc/AhnK18,
  added-at = {2019-01-23T00:00:00.000+0100},
  author = {Ahn, Byungmin and Kim, Taewhan},
  biburl = {https://www.bibsonomy.org/bibtex/299e0440e43889b5c14e68a4ef0786b88/dblp},
  booktitle = {SoCC},
  crossref = {conf/socc/2018},
  ee = {https://doi.org/10.1109/SOCC.2018.8618552},
  interhash = {17430bffb4e05663d31b504a1480cff7},
  intrahash = {99e0440e43889b5c14e68a4ef0786b88},
  isbn = {978-1-5386-1491-4},
  keywords = {dblp},
  pages = {221-226},
  publisher = {IEEE},
  timestamp = {2019-01-24T11:36:47.000+0100},
  title = {Memory Access Driven Memory Layout and Block Replacement Techniques for Compressed Deep Neural Networks.},
  url = {http://dblp.uni-trier.de/db/conf/socc/socc2018.html#AhnK18},
  year = 2018
}

Downloads: 0