LAMDA: Learning-Assisted Multi-stage Autotuning for FPGA Design Closure

LAMDA: Learning-Assisted Multi-stage Autotuning for FPGA Design Closure. Ustun, E., Xiang, S., Gui, J., Yu, C., & Zhang, Z. In 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, San Diego, CA, USA, April 28 - May 1, 2019, pages 74–77, 2019.

Paper doi bibtex

@inproceedings{DBLP:conf/fccm/UstunXGYZ19,
  author    = {Ecenur Ustun and
               Shaojie Xiang and
               Jinny Gui and
               Cunxi Yu and
               Zhiru Zhang},
  title     = {{LAMDA:} Learning-Assisted Multi-stage Autotuning for {FPGA} Design
               Closure},
  booktitle = {27th {IEEE} Annual International Symposium on Field-Programmable Custom
               Computing Machines, {FCCM} 2019, San Diego, CA, USA, April 28 - May
               1, 2019},
  pages     = {74--77},
  year      = {2019},
  crossref  = {DBLP:conf/fccm/2019},
  url       = {https://doi.org/10.1109/FCCM.2019.00020},
  doi       = {10.1109/FCCM.2019.00020},
  timestamp = {Wed, 16 Oct 2019 14:14:49 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/fccm/UstunXGYZ19},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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