Autor(es): Amadio, G. [UNESP] ; Apostolakis, J. ; Bandieramonte, M. ; Behera, S. P. ; Brun, R. ; Canal, P. ; Carminati, F. ; Cosmo, G. ; Duhem, L. ; Elvira, D. ; Folger, G. ; Gheata, A. ; Gheata, M. ; Goulas, I. ; Hariri, F. ; Jun, S. Y. ; Konstantinov, D. ; Kumawat, H. ; Ivantchenko, V. ; Lima, G. ; Nikitina, T. ; Novak, M. ; Pokorski, W. ; Ribon, A. ; Seghal, R. ; Shadura, O. ; Vallecorsa, S. ; Wenzel, S.
Data: 2018
Identificador Persistente: http://hdl.handle.net/11449/170483
Origem: Oasisbr
Made available in DSpace on 2018-12-11T16:51:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-11-23
An intensive R&D and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HEP detector simulation software and the ideal performance achievable, exploiting latest advances in computing technology. The project has developed a particle detector simulation prototype capable of transporting in parallel particles in complex geometries exploiting instruction level microparallelism (SIMD and SIMT), task-level parallelism (multithreading) and high-level parallelism (MPI), leveraging both the multi-core and the many-core opportunities. We present preliminary verification results concerning the electromagnetic (EM) physics models developed for parallel computing architectures within the GeantV project. In order to exploit the potential of vectorization and accelerators and to make the physics model effectively parallelizable, advanced sampling techniques have been implemented and tested. In this paper we introduce a set of automated statistical tests in order to verify the vectorized models by checking their consistency with the corresponding Geant4 models and to validate them against experimental data.
Parallel Computing Center Sao Paulo State University (UNESP)
CERN Route de Meyrin
Bhabha Atomic Research Centre (BARC)
Fermilab MS234, P.O. Box 500
Intel Corporation
Institute of Space Sciences
Parallel Computing Center Sao Paulo State University (UNESP)
