DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis

Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez. DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. In IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2019, Madison, WI, USA, March 24-26, 2019. pages 293-303, IEEE, 2019. [doi]

@inproceedings{LymLOCE19,
  title = {DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis},
  author = {Sangkug Lym and Donghyuk Lee and Mike O'Connor and Niladrish Chatterjee and Mattan Erez},
  year = {2019},
  doi = {10.1109/ISPASS.2019.00041},
  url = {https://doi.org/10.1109/ISPASS.2019.00041},
  researchr = {https://researchr.org/publication/LymLOCE19},
  cites = {0},
  citedby = {0},
  pages = {293-303},
  booktitle = {IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2019, Madison, WI, USA, March 24-26, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-0746-2},
}