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Hello,
Is anyone aware of OpenCL based CNN implementation on Altera FPGAs? I have looked into Intel Deep Learning Inference accelerator (https://software.intel.com/en-us/inference-engine-devguide). It converts models generated by tensorflow and caffe into Intermediate representation. Anyone aware of converting custom graphs in caffe and tensorflow into FPGA binary format (.aocx)? Regards, Manoj.Link Copied
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Check Google Scholars, there are tens of papers on this subject. However, if you are looking for something open-source that is ready to use, you wouldn't find more than one or two.
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We recently developed a CNN accelerator based on the OpenCL framework. We used DE10 Nano based on Intel Cyclone V SoC FPGA for the implementation.
You can check out the entire design flow to implement the accelerator and the relevant codes in the following repository: https://github.com/tirumalnaidu/opencl-cnn-accelerator
For more technical information, refer to this presentation: Link
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