Accelerating Spike-by-Spike Neural Networks on FPGA With Hybrid Custom Floating-Point and Logarithmic Dot-Product Approximation

Yarib Nevarez, David Rotermund, Klaus R. Pawelzik, Alberto García Ortiz. Accelerating Spike-by-Spike Neural Networks on FPGA With Hybrid Custom Floating-Point and Logarithmic Dot-Product Approximation. IEEE Access, 9:80603-80620, 2021. [doi]

@article{NevarezRPO21,
  title = {Accelerating Spike-by-Spike Neural Networks on FPGA With Hybrid Custom Floating-Point and Logarithmic Dot-Product Approximation},
  author = {Yarib Nevarez and David Rotermund and Klaus R. Pawelzik and Alberto García Ortiz},
  year = {2021},
  doi = {10.1109/ACCESS.2021.3085216},
  url = {https://doi.org/10.1109/ACCESS.2021.3085216},
  researchr = {https://researchr.org/publication/NevarezRPO21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {9},
  pages = {80603-80620},
}