Speaker
Sandro Christian Wenzel
(CERN)
Description
A geometry modeller library is among the most important components of the
software simulating the passage of particles in a detector, and many experiment
simulations are currently based on the geometry implementations offered by Geant4 or ROOT.
Here, we report on our effort to extend, re-engineer and evolve thes libraries in multiple directions in order to make them ready for the future challenges of computing in HEP.
This includes primarily an extended API as well as SIMD-vectorised algorithms able
to efficiently handle geometry queries for multiple particles at the same time.
Secondly, we aim for a native support of the geometry module on the GPU or on mixed heterogeneous CPU/GPU platforms.
This effort is one of the essential ingredients of the Geant-Vector project that is
focusing on a fine-grained multithreaded and vectorised design, propagating many
particles from different events at the same time.
Our presentation will give an overview of the new vectorizsed, generic and
templated geometry library "VecGeom" that accomplishes those primary goals and which also improves the overall geometry performance for current simulation
frameworks. Beyond discussing new performance numbers for elementary and
higher level geometry algorithms, we will show a first global evaluation of the new
library on a realistic detector in form of the geometry description from the CMS
experiment
Primary author
Sandro Christian Wenzel
(CERN)
Co-authors
Andrei Gheata
(CERN)
Mr
Federico Carminati
(CERN)
Dr
Gabriele Cosmo
(CERN)
Georgios Bitzes
(National and Kapodistrian University of Athens (GR))
Guilherme Lima
(FermiLab (US))
Johannes Christof de Fine Licht
(University of Copenhagen (DK))
John Apostolakis
(CERN)
Laurent Duhem
Marilena Bandieramonte
(Universita e INFN (IT))
Mihaly Novak
(CERN)
Oksana Shadura
(National Technical Univ. of Ukraine "Kyiv Polytechnic Institute)
Philippe Canal
(Fermi National Accelerator Lab. (US))
Raman Sehgal
(Bhabha Atomic Research Centre (IN))
Dr
Rene Brun
(CERN)
Soon Yung Jun
(Fermi National Accelerator Lab. (US))
Tatiana Nikitina
(Gangneung-Wonju National University (KR))
Victor Daniel Elvira
(Fermi National Accelerator Lab. (US))
