SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference

The proliferation of machine learning together with the rapid evolution of the hardware ecosystem has led to a surge in the demand for model inference on a variety of hardware. Decision tree based models are the most popular models on tabular data. This paper is motivated by the problems encountered when targeting inference of these models to run at peak performance on CPU and GPU targets. Existing solutions are neither portable nor achieve the best possible performance for the specific hardware they target. This is because they do not explore and customize optimization configurations to the target processor and the model being used.