FFCNN: Fast FPGA based Acceleration for Convolution neural network inference. (arXiv:2208.13250v1 [cs.LG])

We present a new efficient OpenCL-based Accelerator for large scale
Convolutional Neural Networks called Fast Inference on FPGAs for Convolution
Neural Network (FFCNN). FFCNN is based on a deeply pipelined OpenCL kernels
architecture. As pointed out before, high-level synthesis tools such as the
OpenCL framework can easily port codes originally designed for CPUs and GPUs to
FPGAs, but it is still difficult to make OpenCL codes run efficiently on FPGAs.
This work aims to propose an efficient FPGA implementation of …

arxiv convolution convolution neural network inference network neural network