This report describes a method to quickly evaluate multi linear functions  (MLFs for short) using GPUs. 
The goal is to evaluate MLFs expressing marginal probabilities in large Bayesian Networks that are 
represented as compressed to zero-supressed binary decision diagrams (ZBDDs for short).  
These functions have highly optimized CPU implementations; we compare them with their corresponding GPU implementations.