DataMaster: A GNN-based Data Type Optimizer for Dataflow Design in FPGA

Zheyuan Zou, Lei Gong, Chao Wang 0003, Xuehai Zhou. DataMaster: A GNN-based Data Type Optimizer for Dataflow Design in FPGA. In 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, Marina Del Rey, CA, USA, May 8-11, 2023. pages 247-249, IEEE, 2023. [doi]

@inproceedings{ZouG0Z23,
  title = {DataMaster: A GNN-based Data Type Optimizer for Dataflow Design in FPGA},
  author = {Zheyuan Zou and Lei Gong and Chao Wang 0003 and Xuehai Zhou},
  year = {2023},
  doi = {10.1109/FCCM57271.2023.00063},
  url = {https://doi.org/10.1109/FCCM57271.2023.00063},
  researchr = {https://researchr.org/publication/ZouG0Z23},
  cites = {0},
  citedby = {0},
  pages = {247-249},
  booktitle = {31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, Marina Del Rey, CA, USA, May 8-11, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-1205-8},
}