BDT Inference for FPGAs
Project description
Conifer translates trained Boosted Decision Trees to FPGA firmware for extreme low latency inference. Check the examples directory for examples to get started with.
Currently models from sklearn
, xgboost
, and TMVA
are supported. FPGA firmware can be produced in Xilinx Vivado HLS or VHDL.
See our paper: https://arxiv.org/abs/2002.02534
Conifer originated as a development for https://hls-fpga-machine-learning.github.io/hls4ml/, and borrows heavily from the code and ideas developed for it.
Installation
git clone https://github.com/thesps/conifer.git
cd conifer
pip install .
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