Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks

Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk. Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks. In Fernando Rincón, Jesús Barba, Hayden Kwok-Hay So, Pedro C. Diniz, Julián Caba, editors, Applied Reconfigurable Computing. Architectures, Tools, and Applications - 16th International Symposium, ARC 2020, Toledo, Spain, April 1-3, 2020, Proceedings [postponed]. Volume 12083 of Lecture Notes in Computer Science, pages 3-13, Springer, 2020. [doi]

@inproceedings{FeriancFCSL20,
  title = {Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks},
  author = {Martin Ferianc and Hongxiang Fan and Ringo S. W. Chu and Jakub Stano and Wayne Luk},
  year = {2020},
  doi = {10.1007/978-3-030-44534-8_1},
  url = {https://doi.org/10.1007/978-3-030-44534-8_1},
  researchr = {https://researchr.org/publication/FeriancFCSL20},
  cites = {0},
  citedby = {0},
  pages = {3-13},
  booktitle = {Applied Reconfigurable Computing. Architectures, Tools, and Applications - 16th International Symposium, ARC 2020, Toledo, Spain, April 1-3, 2020, Proceedings [postponed]},
  editor = {Fernando Rincón and Jesús Barba and Hayden Kwok-Hay So and Pedro C. Diniz and Julián Caba},
  volume = {12083},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-44534-8},
}