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A vectorization approach for multifaceted solids in VecGeom

VecGeom [1] is a multi-purpose geometry library targeting the optimisation of the 3D-solids’ algorithms used extensively in particle transport and tracking applications. The implementations of these algorithms are templated on the input data type and are vectorised based on the VecCore [2] abstracti...

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Autores principales: Apostolakis, John, Cosmo, Gabriele, Gheata, Andrei, Gheata, Mihaela, Sehgal, Raman, Wenzel, Sandro
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921402025
http://cds.cern.ch/record/2701783
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author Apostolakis, John
Cosmo, Gabriele
Gheata, Andrei
Gheata, Mihaela
Sehgal, Raman
Wenzel, Sandro
author_facet Apostolakis, John
Cosmo, Gabriele
Gheata, Andrei
Gheata, Mihaela
Sehgal, Raman
Wenzel, Sandro
author_sort Apostolakis, John
collection CERN
description VecGeom [1] is a multi-purpose geometry library targeting the optimisation of the 3D-solids’ algorithms used extensively in particle transport and tracking applications. The implementations of these algorithms are templated on the input data type and are vectorised based on the VecCore [2] abstraction library in case of multiple inputs in a SIMD vector. This provides additional performance for applications supporting a multi-particle flow, such as the GeantV [3] prototype. VecGeom allows also scalar queries for all the supported solids, an option that started being used in Geant4 [4] since the release 10.2, as optional replacement of the geometry functionality provided by the native Geant4 solids. In single particle mode, VecGeom can still issue SIMD instructions by vectorizing the geometry algorithms featuring loops over internal data structures. This approach has proven to bring very large benefits for the tessellated solids represented in terms of triangular facets. To expose more vectorization in the scalar mode we have extended the approach used for the triangular tessellations to other multifaceted shapes, such as the extruded polygon, the poly-hedra and different trapezoids. We hereby present the strategy used to vectorise the different processing phases for tessellated solids, the performance improvements compared to the previous scalar implementations for other solids using this approach, and how this is reflected in Geant4 simulations using VecGeom as geometry engine.
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language eng
publishDate 2019
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spelling oai-inspirehep.net-17605662022-08-10T12:23:28Zdoi:10.1051/epjconf/201921402025http://cds.cern.ch/record/2701783engApostolakis, JohnCosmo, GabrieleGheata, AndreiGheata, MihaelaSehgal, RamanWenzel, SandroA vectorization approach for multifaceted solids in VecGeomComputing and ComputersVecGeom [1] is a multi-purpose geometry library targeting the optimisation of the 3D-solids’ algorithms used extensively in particle transport and tracking applications. The implementations of these algorithms are templated on the input data type and are vectorised based on the VecCore [2] abstraction library in case of multiple inputs in a SIMD vector. This provides additional performance for applications supporting a multi-particle flow, such as the GeantV [3] prototype. VecGeom allows also scalar queries for all the supported solids, an option that started being used in Geant4 [4] since the release 10.2, as optional replacement of the geometry functionality provided by the native Geant4 solids. In single particle mode, VecGeom can still issue SIMD instructions by vectorizing the geometry algorithms featuring loops over internal data structures. This approach has proven to bring very large benefits for the tessellated solids represented in terms of triangular facets. To expose more vectorization in the scalar mode we have extended the approach used for the triangular tessellations to other multifaceted shapes, such as the extruded polygon, the poly-hedra and different trapezoids. We hereby present the strategy used to vectorise the different processing phases for tessellated solids, the performance improvements compared to the previous scalar implementations for other solids using this approach, and how this is reflected in Geant4 simulations using VecGeom as geometry engine.oai:inspirehep.net:17605662019
spellingShingle Computing and Computers
Apostolakis, John
Cosmo, Gabriele
Gheata, Andrei
Gheata, Mihaela
Sehgal, Raman
Wenzel, Sandro
A vectorization approach for multifaceted solids in VecGeom
title A vectorization approach for multifaceted solids in VecGeom
title_full A vectorization approach for multifaceted solids in VecGeom
title_fullStr A vectorization approach for multifaceted solids in VecGeom
title_full_unstemmed A vectorization approach for multifaceted solids in VecGeom
title_short A vectorization approach for multifaceted solids in VecGeom
title_sort vectorization approach for multifaceted solids in vecgeom
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/201921402025
http://cds.cern.ch/record/2701783
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