PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs

@article{Motamedi2017PLACIDAP,
  title={PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs},
  author={Mohammad Motamedi and Philipp Gysel and Soheil Ghiasi},
  journal={TOMCCAP},
  year={2017},
  volume={13},
  pages={62:1-62:21}
}
Deep Convolutional Neural Networks (DCNNs) exhibit remarkable performance in a number of pattern recognition and classification tasks. Modern DCNNs involve many millions of parameters and billions of operations. Inference using such DCNNs, if implemented as software running on an embedded processor, results in considerable execution time and energy consumption, which is prohibitive in many mobile applications. Field-programmable gate array (FPGA)-based acceleration of DCNN inference is a… CONTINUE READING
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