MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes

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