  In this proceedings we present MadFlow, a new framework for the automation of
Monte Carlo (MC) simulation on graphics processing units (GPU) for particle
physics processes. In order to automate MC simulation for a generic number of
processes, we design a program which provides to the user the possibility to
simulate custom processes through the MadGraph5_aMC@NLO framework. The pipeline
includes a first stage where the analytic expressions for matrix elements and
phase space are generated and exported in a GPU-like format. The simulation is
then performed using the VegasFlow and PDFFlow libraries which deploy
automatically the full simulation on systems with different hardware
acceleration capabilities, such as multi-threading CPU, single-GPU and
multi-GPU setups. We show some preliminary results for leading-order
simulations on different hardware configurations.
