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 multithreading CPU, single-GPU and multi-GPU setups. We show some preliminary results for leading-order simulations on different hardware configurations.

Towards the automation of Monte Carlo simulation on GPU for particle physics processes / S. Carrazza, C. Juan, M. Rossi, M. Zaro. - (2021 May 21). ((Intervento presentato al convegno vCHEP 2021 tenutosi a Online nel 2021.

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

S. Carrazza
;
C. Juan;M. Rossi;M. Zaro
2021

Abstract

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 multithreading CPU, single-GPU and multi-GPU setups. We show some preliminary results for leading-order simulations on different hardware configurations.
Physics - Computational Physics; Physics - Computational Physics; High Energy Physics - Phenomenology
Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici
http://arxiv.org/abs/2105.10529v1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/852622
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