FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off

Kaan Kara, Dan Alistarh, Gustavo Alonso, Onur Mutlu, Ce Zhang. FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off. In 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2017, Napa, CA, USA, April 30 - May 2, 2017. pages 160-167, IEEE Computer Society, 2017. [doi]

@inproceedings{KaraAAMZ17,
  title = {FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off},
  author = {Kaan Kara and Dan Alistarh and Gustavo Alonso and Onur Mutlu and Ce Zhang},
  year = {2017},
  doi = {10.1109/FCCM.2017.39},
  url = {https://doi.org/10.1109/FCCM.2017.39},
  researchr = {https://researchr.org/publication/KaraAAMZ17},
  cites = {0},
  citedby = {0},
  pages = {160-167},
  booktitle = {25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2017, Napa, CA, USA, April 30 - May 2, 2017},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-4037-1},
}