The Geant v project: Preparing the future of simulation

Tipo
Artigo de evento
Data de publicação
2015
Periódico
Journal of Physics: Conference Series
Citações (Scopus)
12
Autores
Amadio G.
Apostolakis J.
Bandieramonte M.
Bhattacharyya A.
Bianchini C.
Brun R.
Canal P.
Carminati F.
Duhem L.
Elvira D.
De Fine Licht J.
Gheata A.
Iope R.L.
Lima G.
Mohanty A.
Nikitina T.
Novak M.
Pokorski W.
Seghal R.
Shadura O.
Vallecorsa S.
Wenzel S.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
© Published under licence by IOP Publishing Ltd.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.
Descrição
Palavras-chave
Assuntos Scopus
Complex geometries , Computational kernels , Computing architecture , Computing resource , Detector simulations , Full simulations , Multi-threading , Performance comparison
Citação
DOI (Texto completo)