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In this proceedings we present MadFlow, a new framework for the automation ofMonte Carlo (MC) simulation on graphics processing units (GPU) for particlephysics processes. In order to automate MC simulation for a generic number ofprocesses, we design a program which provides to the user the possibility tosimulate custom processes through the MadGraph5_aMC@NLO framework. The pipelineincludes a first stage where the analytic expressions for matrix elements andphase space are generated and exported in a GPU-like format. The simulation isthen performed using the VegasFlow and PDFFlow libraries which deployautomatically the full simulation on systems with different hardwareacceleration capabilities, such as multi-threading CPU, single-GPU andmulti-GPU setups. We show some preliminary results for leading-ordersimulations on different hardware configurations.

Towards the automation of Monte Carlo simulation on GPU for particle physics processes