Probability distribution functions (PDFs) are very used in modeling random
processes and physics simulations. It can be demonstrated that the relation-
ships between PDFs are linked through functional parameters. Improving the
performance of the generation of many random numbers to be used as input
by the PDFs is often a very challenging task as it involves algorithms with
acceptance-rejection methods. In this work we present general strategies on
how to vectorize some PDFs using VecCore library. We show the results for the
Exponential, Poisson and Gamma probability distributions.