Finn Alternatives

finn reviews and mentions

• Hi, What could be the best HLS tool for implementing neural networks on FPGA
  2 projects | /r/FPGA | 13 Jun 2023

  FINN - https://github.com/Xilinx/finn

• Can anyone tell if Xilinx's FINN (from Xilinx's research lab) is restricted for use only to xilinx based FPGAs?
  2 projects | /r/FPGA | 8 Apr 2023

  Seems fine to use on other FPGAs, there are some clauses you need to abide by. https://github.com/Xilinx/finn/blob/main/LICENSE.txt

• Sub ms - 3ms Latency Vision task on FPGA
  2 projects | /r/FPGA | 5 Feb 2023

  It really depends on the type of data you are using. There may (or may not) be some trade offs and sacrifices. There are frameworks which can basically translate your neural network information from a high level python code into equivalent HLS code which is optimized for low latency when inferred on FPGAs. Some frameworks which might be useful for you to explore are hls4ml and finn. These are some frameworks which can achieve low latency inference of neural networks on FPGAs using Xilinx Vitis HLS. These are what I found when I did a similar experiment but with much lower latency target (a few hundred ns) and a very simple MLP with 1D signal as input which was a year ago. Not sure if there are better alternatives available as of 2023. But conceptually all these work on the primary principle of having a supporting framework/methodology to first quantize the network and limit the precision of data to fixed point. The HLS then produced will also be a result of the framework applying dataflow techniques such that the resulting HLS code will produce an RTL which has the best overall latency.

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