The GeantV project: Preparing the future of simulation

Journal Article · Wed Dec 23 00:00:00 EST 2015 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/664/7/072006· OSTI ID:1250782

Amadio, G. ^[1]; Bandieramonte, M. ^[2]; Bhattacharyya, A. ^[3]; Bianchini, C. ^[4]; Brun, R. ^[5]; Canal, Ph ^[6]; Carminati, F. ^[5]; Duhem, L. ^[7]; Elvira, D. ^[6]; de Fine Licht, J. ^[8]; Gheata, A. ^[5]; Iope, R. L. ^[1]; Lima, G. ^[6]; Mohanty, A. ^[3]; Nikitina, T. ^[5]; Novak, M. ^[5]; Pokorski, W. ^[5]; Seghal, R. ^[3]; Shadura, O. ^[5]; Vallecorsa, S. ^[5] ; Wenzel, S. ^[5]

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1. Sao Paulo State Univ., Sao Paulo (Brazil)
2. Osservatorio Astrofisico di Catania (INAF-OACT), Catania (Italy)
3. Bhabha Atomic Research Centre (BARC), Mumbai (India)
4. Sao Paulo State Univ., Sao Paulo (Brazil); Mackenzie Presbyterian Univ., Sao Paulo (Brazil)
5. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
6. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
7. Intel Corp., Santa Clara, CA (United States)
8. Univ. of Copenhagen, Copenhagen (Denmark)

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. Furthermore, 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.

• Research Organization: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• Grant/Contract Number: AC02-07CH11359
• OSTI ID: 1250782
• Report Number(s): FERMILAB-CONF-15-598-CD; 1413989
• Journal Information: Journal of Physics. Conference Series, Vol. 664, Issue 7; Conference: 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa (Japan), 13-17 Apr 2015; ISSN 1742-6588
• Publisher: IOP Publishing
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING