MadFlow: automating Monte Carlo simulation on GPU for particle physics processes

  title={MadFlow: automating Monte Carlo simulation on GPU for particle physics processes},
  author={Stefano Carrazza and Juan Cruz-Martinez and Marco Rossi and Marco Zaro},
  journal={The European Physical Journal C},
We present MadFlow, a first general multi-purpose framework for Monte Carlo (MC) event simulation of particle physics processes designed to take full advantage of hardware accelerators, in particular, graphics processing units (GPUs). The automation process of generating all the required components for MC simulation of a generic physics process and its deployment on hardware accelerator is still a big challenge nowadays. In order to solve this challenge, we design a workflow and code library… 

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VegasFlow: accelerating Monte Carlo simulation across platforms

  • S. CarrazzaJ. Cruz-Martinez
  • Computer Science
    Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)
  • 2021
This work demonstrates the usage of the VegasFlow library on multidevice situations: multi-GPU in one single node and multi-node in a cluster and how different batch sizes can increase or decrease the performance on a Leading Order example integration.

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