The GeantV project: preparing the future of simulation

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Amadio, G.^1 ; Apostolakis, J.^2 ; Bandieramonte, M.^3 ; Bhattacharyya, A.^4 ; Bianchini, C.^1,8 ; Brun, R.^2 ; Canal, Ph^5 ; Carminati, F.^2 ; Duhem, L.^6 ; Elvira, D.^5 ; De Fine Licht, J.^7 ; Gheata, A.^2 ; Iope, R.L.^1 ; Lima, G.^5 ; 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^1

CERN, Geneva, Switzerland^2

Istituto Nazionale di Astrofisica, Osservatorio Astrofisico di Catania (INAF-OACT), Catania, Italy^3

Bhabha Atomic Research Centre (BARC), Mumbai, India^4

Fermi National Accelerator Laboratory, Batavia

IL, United States^5

Intel Corporation, Santa Clara

CA, United States^6

University of Copenhagen, Copenhagen, Denmark^7

Mackenzie Presbyterian University, Sao Paulo, Brazil^8

关键词: Complex geometries;    Computational kernels;    Computing architecture;    Computing resource;    Detector simulations;    Full simulations;    Multi-threading;    Performance comparison;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072006/pdf
DOI  :  10.1088/1742-6596/664/7/072006

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.