• Corpus ID: 218487332

GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

@article{Amadio2020GeantVRF,
  title={GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP},
  author={Guilherme Amadio and Ananya Ananya and John Apostolakis and Marilena Bandieramonte and S. Banerjee and A. Bhattacharyya and Calebe de Paula Bianchini and Georgios Bitzes and Philippe Canal and Federico Carminati and O. Chaparro-Amaro and Gabriele Cosmo and Johannes de Fine Licht and V. Drogan and L. Duhem and D. Elvira and J. Fuentes and Andrei Gheata and Mihaela Gheata and Mathieu Gravey and I. Goulas and Farah Hariri and S. Y. Jun and Dmitri Konstantinov and H. Kumawat and J. G. Lima and Axel Maldonado‐Romo and J. Mart'inez-Castro and Pere Mato and T. Nikitina and Sergio Ferraz Novaes and M. Novak and Kevin Pedro and Witold Pokorski and A. Ribon and Ryan Schmitz and R. Seghal and Oksana Shadura and Evgueni Tcherniaev and Sofia Vallecorsa and Sandro Wenzel and Y. Zhang},
  journal={arXiv: Computational Physics},
  year={2020}
}
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. The extension of fast simulation approaches to more use cases, covering a larger fraction of the simulation budget, is only part of the solution due to intrinsic… 

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