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Electromagnetic physics vectorization in the GeantV transport framework
/ Amadio, Guilherme (CERN) ; Ananya (CERN) ; Apostolakis, John (CERN) ; Bandieramonte, Marilena (CERN ; U. Pittsburgh (main)) ; Behera, S P (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, Abhijit (Bhabha Atomic Res. Ctr.) ; Brun, Rene (CERN) ; Canal, Philippe (Fermilab) ; Carminati, Federico (CERN) ; Cosmo, Gabriele (CERN) et al.
The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. [...]
2019 - 11 p.
- Published in : EPJ Web Conf. 214 (2019) 02031
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02031
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2.
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GeantV alpha release
/ Amadio, G (CERN) ; Ananya, (IIT, Roorkee) ; Apostolakis, J (CERN) ; Bandieramonte, M (CERN) ; Behera, S (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Cosmo, G (CERN) et al.
In the fall 2016, GeantV went through a thorough community evaluation of the project status and of its strategy for sharing the R&D; results with the LHC experiments and with the HEP simulation community in general. Following this discussion, GeantV has engaged onto an ambitious 2-year road-path aiming to deliver a beta version that has most of the final design and several performance features of the final product, partially integrated with some of the experiment’s frameworks. [...]
2018 - 7 p.
- Published in : J. Phys.: Conf. Ser. 1085 (2018) 032037
Fulltext: PDF;
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.032037
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3.
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Recent progress with the top to bottom approach to vectorization in GeantV
/ Amadio, Guilherme (CERN) ; Ananya ; Apostolakis, John (CERN) ; Bandieramonte, Marilena (CERN ; U. Pittsburgh (main)) ; Behera, Shiba (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, Abhijit (Bhabha Atomic Res. Ctr.) ; Brun, René (CERN) ; Canal, Philippe (Fermilab) ; Carminati, Federico (CERN) ; Cosmo, Gabriele (CERN) et al.
SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and relying on the compiler. [...]
2019 - 8 p.
- Published in : EPJ Web Conf. 214 (2019) 02007
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02007
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4.
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Performance of GeantV EM Physics Models
/ Amadio, G (Sao Paulo State U.) ; Ananya, A (CERN) ; Apostolakis, J (CERN) ; Aurora, A (CERN) ; Bandieramonte, M (CERN) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal P (Fermilab) ; Carminati, F (CERN) et al.
The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particles in parallel, improving instruction throughput and data locality in HEP event simulation on modern parallel hardware architecture. [...]
FERMILAB-CONF-17-045-CD.-
2017 - 8 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 072017
Fulltext: PDF; External link: FERMILABCONF
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.072017
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5.
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Electromagnetic Physics Models for Parallel Computing Architectures
/ Amadio, G (Sao Paulo State U.) ; Ananya, A (CERN) ; Apostolakis, J (CERN) ; Aurora, A (CERN) ; Bandieramonte, M (CERN) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) et al.
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generation detector simulation, has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. [...]
FERMILAB-CONF-16-652-CD.-
2016 - 5 p.
- Published in : J. Phys.: Conf. Ser. 762 (2016) 012014
Fulltext: openaccess_Amadio_2016_J._Phys._Conf._Ser._762_012014 - PDF; fermilab-conf-16-652-cd - PDF; External link: FERMILABCONF
In : 17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016, pp.012014
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Verification of electromagnetic physics models for parallel computing architectures in the GeantV project
/ Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (CERN) ; Behera, S P (Bhabha Atomic Res. Ctr.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Cosmo, G (CERN) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) et al.
An intensive R&D; and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HEP detector simulation software and the ideal performance achievable, exploiting latest advances in computing technology. [...]
2017 - 8 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 042019
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042019
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7.
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GeantV: from CPU to accelerators
/ Amadio, G (Sao Paulo, IFT) ; Ananya, A (Indian Inst. Tech., Madras) ; Apostolakis, J (CERN) ; Arora, A (Indian Inst. Tech., Madras) ; Bandieramonte, M (CERN) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo, IFT ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) et al.
The GeantV project aims to research and develop the next-generation simulation software describing the passage of particles through matter. While the modern CPU architectures are being targeted first, resources such as GPGPU, Intel© Xeon Phi, Atom or ARM cannot be ignored anymore by HEP CPU-bound applications. [...]
FERMILAB-CONF-16-625-CD.-
2016 - 8 p.
- Published in : J. Phys.: Conf. Ser. 762 (2016) 012019
Fulltext: fermilab-conf-16-625-cd - PDF; Amadio2016JPhys - PDF; External link: FERMILABCONF
In : 17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016, pp.012019
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First experience of vectorizing electromagnetic physics models for detector simulation
/ Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (Catania Astrophys. Observ.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Bitzes, G (CERN) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; de Fine Licht, J (U. Copenhagen (Main)) ; Duhem, L (Intel, Santa Clara) et al.
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prototype for detector simulations has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. [...]
FERMILAB-CONF-15-597-CD.-
2015 - 6 p.
- Published in : J. Phys.: Conf. Ser. 664 (2015) 092013
IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.092013
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9.
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Stochastic optimization of GeantV code by use of genetic algorithms
/ Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (CERN) ; Behera, S P (Bhabha Atomic Res. Ctr.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Cosmo, G (CERN) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) et al.
GeantV is a complex system based on the interaction of different modules needed for detector simulation, which include transport of particles in fields, physics models simulating their interactions with matter and a geometrical modeler library for describing the detector and locating the particles and computing the path length to the current volume boundary. The GeantV project is recasting the classical simulation approach to get maximum benefit from SIMD/MIMD computational architectures and highly massive parallel systems. [...]
2017 - 8 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 042026
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042026
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10.
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GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP
/ Amadio, G. (CERN) ; Ananya, A. (CERN) ; Apostolakis, J. (CERN) ; Bandieramonte, M. (CERN ; Pittsburgh U.) ; Banerjee, S. (Fermilab) ; Bhattacharyya, A. (Bhabha Atomic Res. Ctr.) ; Bianchini, C. (Sao Paulo, IFT ; Mackenzie Presbiteriana U.) ; Bitzes, G. (CERN) ; Canal, P. (Fermilab) ; Carminati, F. (CERN) et al.
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. [...]
arXiv:2005.00949; FERMILAB-PUB-20-200-SCD.-
2021-01-03 - 34 p.
- Published in : Comput. Softw. Big Sci. 5 (2021) 3
Fulltext: fermilab-pub-20-200-scd - PDF; 2005.00949 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)
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