Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems

Yue Zhu, Fahim Chowdhury, Huansong Fu, Adam Moody, Kathryn Mohror, Kento Sato, Weikuan Yu. Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. In 26th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2018, Milwaukee, WI, USA, September 25-28, 2018. pages 145-156, IEEE Computer Society, 2018. [doi]

@inproceedings{ZhuCFMMSY18,
  title = {Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems},
  author = {Yue Zhu and Fahim Chowdhury and Huansong Fu and Adam Moody and Kathryn Mohror and Kento Sato and Weikuan Yu},
  year = {2018},
  doi = {10.1109/MASCOTS.2018.00023},
  url = {http://doi.ieeecomputersociety.org/10.1109/MASCOTS.2018.00023},
  researchr = {https://researchr.org/publication/ZhuCFMMSY18},
  cites = {0},
  citedby = {0},
  pages = {145-156},
  booktitle = {26th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2018, Milwaukee, WI, USA, September 25-28, 2018},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-6886-3},
}