CERN Accelerating science

Published Articles
Report number	FERMILAB-CONF-15-598-CD
Title	The GeantV project: preparing the future of simulation
Author(s)	Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (Catania Astrophys. Observ.) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal, Ph (Fermilab) ; Carminati, F (CERN) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) ; de Fine Licht, J (Bohr Inst.) ; Gheata, A (CERN) ; Iope, R L (Sao Paulo State U.) ; Lima, G (Fermilab) ; Mohanty, A (Bhabha Atomic Res. Ctr.) ; Nikitina, T (CERN) ; Novak, M (CERN) ; Pokorski, W (CERN) ; Seghal, R (Bhabha Atomic Res. Ctr.) ; Shadura, O (CERN) ; Vallecorsa, S (CERN) ; Wenzel, S (CERN)
Publication	2015
Number of pages	8
In:	J. Phys.: Conf. Ser. 664 (2015) 072006
In:	21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.072006
DOI	10.1088/1742-6596/664/7/072006
Subject category	Computing and Computers
Abstract	Detector simulation is consuming at least half of the HEP computing cycles, and even so, experiments have to take hard decisions on what to simulate, as their needs greatly surpass the availability of computing resources. New experiments still in the design phase such as FCC, CLIC and ILC as well as upgraded versions of the existing LHC detectors will push further the simulation requirements. Since the increase in computing resources is not likely to keep pace with our needs, it is therefore necessary to explore innovative ways of speeding up simulation in order to sustain the progress of High Energy Physics. The GeantV project aims at developing a high performance detector simulation system integrating fast and full simulation that can be ported on different computing architectures, including CPU accelerators. After more than two years of R&D; the project has produced a prototype capable of transporting particles in complex geometries exploiting micro-parallelism, SIMD and multithreading. Portability is obtained via C++ template techniques that allow the development of machine- independent computational kernels. A set of tables derived from Geant4 for cross sections and final states provides a realistic shower development and, having been ported into a Geant4 physics list, can be used as a basis for a direct performance comparison.
Copyright/License	publication: © 2015-2025 The Author(s) (License: CC-BY-3.0)

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