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.

Details

Title
The GeantV project: preparing the future of simulation
Author
Amadio, G 1 ; Apostolakis, J 2 ; Bandieramonte, M 3 ; Bhattacharyya, A 4 ; Bianchini, C 5 ; Brun, R 2 ; Canal, Ph 6 ; Carminati, F 2 ; Duhem, L 7 ; Elvira, D 6 ; de Fine Licht, J 8 ; Gheata, A 2 ; Iope, R L 1 ; Lima, G 6 ; Mohanty, A 4 ; Nikitina, T 2 ; Novak, M 2 ; Pokorski, W 2 ; Seghal, R 4 ; Shadura, O 2 ; Vallecorsa, S 2 ; Wenzel, S 2 

 Sao Paulo State University, Sao Paulo, Brazil 
 CERN, Geneva, Switzerland 
 Istituto Nazionale di Astrofisica, Osservatorio Astrofisico di Catania (INAF-OACT), Catania, Italy 
 Bhabha Atomic Research Centre (BARC), Mumbai, India 
 Sao Paulo State University, Sao Paulo, Brazil; Mackenzie Presbyterian University, Sao Paulo, Brazil 
 Fermi National Accelerator Laboratory, Batavia, IL, USA 
 Intel Corporation, Santa Clara, CA, USA 
 University of Copenhagen, Copenhagen, Denmark 
Publication year
2015
Publication date
Dec 2015
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2576454426
Copyright
© 2015. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.