CERN Accelerating science

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Offloading electromagnetic shower transport to GPUs / Amadio, G. (CERN) ; Apostolakis, J. (CERN) ; Buncic, P. (CERN) ; Cosmo, G. (CERN) ; Dosaru, D. (Ecole Polytechnique, Lausanne) ; Gheata, A. (CERN) ; Hageboeck, S. (CERN) ; Hahnfeld, J. (CERN) ; Hodgkinson, M. (Sheffield U.) ; Morgan, B. (Liverpool U.) et al.
Making general particle transport simulation for high-energy physics (HEP) single-instruction-multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important alternative for boosting the throughput of simulation applications. To date, this challenge is not yet resolved, due to difficulties in mapping the complexity of Geant4 components and workflow to the massive parallelism features exposed by graphics processing units (GPU). [...]
arXiv:2209.15445.- 2023 - 7 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012055 Fulltext: 2209.15445 - PDF; document - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012055

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