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CERN Document Server 2,027 records found  1 - 10nextend  jump to record: Search took 0.39 seconds. 
1.
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Surface-based GPU-friendly geometry modeling for detector simulation / Apostolakis, John (CERN) ; Cvijetic, Dusan (LPHE, Lausanne) ; Cosmo, Gabriele (CERN) ; Gheata, Andrei (CERN) ; Hahnfeld, Jonas (CERN) ; Stan, Eduard-George (Bucharest, IFIN-HH ; Bucharest, Polytechnic Inst.)
In a context where the high-energy physics community strives to enhance software to handle increased data throughput, detector simulation is evolving to take advantage of new performance opportunities. Given the intricacy of particle transport simulation, recent advancements, such as adapting to accelerator hardware, require a significant research and development effort.The feasibility of porting complex particle transport codes to GPUs has been already demonstrated by parallelizing the processing of tracks undergoing electromagnetic interactions. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 03039 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.03039
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2.
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GPU-friendly boundary representation geometry model for simulation / Stan, Eduard George (University of Bucharest (RO)) ; Gheata, Andrei (CERN)
The SFT simulation R\&D group is working on optimizing the performance of the Geant4 particle transport simulation toolkit [...]
CERN-STUDENTS-Note-2023-177. - 2023
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3.
(29)
Converting Solids to VecGeom's Surface Model / Cvijetic, Dusan
Simulating detector geometry is a complex and resource-intensive task. [...]
CERN-STUDENTS-Note-2022-079. - 2022
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4.
(18)
A vectorization approach for multifaceted solids in VecGeom / Apostolakis, John (CERN) ; Cosmo, Gabriele (CERN) ; Gheata, Andrei (CERN) ; Gheata, Mihaela (CERN ; Bucharest, Inst. Space Science) ; Sehgal, Raman (Bhabha Atomic Res. Ctr.) ; Wenzel, Sandro (CERN) /VecGeom team
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. [...]
2019 - 7 p. - Published in : EPJ Web Conf. 214 (2019) 02025 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.02025
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5.
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Top Electroweak Coupling at FCC-ee / Cvijetic, Tijana
As a summer student at Cern, I was part of the CMS department working on the Future Circular Collider project. [...]
CERN-STUDENTS-Note-2023-193. - 2023
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6.
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Offloading electromagnetic shower transport to GPUs / Amadio, G. (CERN) ; Apostolakis, J. (CERN) ; Buncic, P. (CERN) ; Cosmo, G. (CERN) ; Dosaru, D. (Ecole Polytechnique, Lausanne) ; Gheata, A. (CERN) ; Hageboeck, S. (CERN) ; Hahnfeld, J. (CERN) ; Hodgkinson, M. (Sheffield U.) ; Morgan, B. (Liverpool U.) et al.
Making general particle transport simulation for high-energy physics (HEP) single-instruction-multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important alternative for boosting the throughput of simulation applications. To date, this challenge is not yet resolved, due to difficulties in mapping the complexity of Geant4 components and workflow to the massive parallelism features exposed by graphics processing units (GPU). [...]
arXiv:2209.15445.- 2023 - 7 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012055 Fulltext: 2209.15445 - PDF; document - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012055
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7.
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Calibration and Conditions Database of the ALICE experiment in Run 3 / Dosaru, Daniel-Florin (Bucharest, Polytechnic Inst.) ; Grigoraş, Costin (CERN) ; Mucha, Rafał (AGH-UST, Cracow) ; Trzebuniak, Michał (AGH-UST, Cracow)
The ALICE experiment at CERN has undergone a substantial detector, readout and software upgrade for the LHC Run 3. A signature part of the upgrade is the triggerless detector readout, which necessitates a real time lossy data compression from 1.1 TB/s to 100 GB/s performed on a GPU/CPU cluster of 250 nodes. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 01011 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01011
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GPU simulation with Opticks: The future of optical simulations for LZ / Creaner, Oisin (speaker) (Lawrence Berkeley National Laboratory)
The LZ collaboration aims to directly detect dark matter by using a liquid xenon Time Projection Chamber (TPC). In order to probe the dark matter signal, observed signals are compared with simulations that model the detector response. [...]
2021 - 716. Conferences; 25th International Conference on Computing in High Energy & Nuclear Physics External links: Talk details; Event details In : 25th International Conference on Computing in High Energy & Nuclear Physics
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Large-scale distributed training applied to generative adversarial networks for calorimeter simulation / Vlimant, Jean-Roch (Caltech) ; Pantaleo, Felice (CERN) ; Pierini, Maurizio (CERN) ; Loncar, Vladimir (CERN) ; Vallecorsa, Sofia (CERN ; Gangneung-Wonju Natl. U.) ; Anderson, Dustin (Caltech) ; Nguyen, Thong (Caltech) ; Zlokapa, Alexander (Caltech)
In recent years, several studies have demonstrated the benefit of using deep learning to solve typical tasks related to high energy physics data taking and analysis. In particular, generative adversarial networks are a good candidate to supplement the simulation of the detector response in a collider environment. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 06025 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.06025
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MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes / Carrazza, Stefano (Milan U. ; INFN, Milan ; CERN ; Technol. Innovation Inst., UAE) ; Cruz-Martinez, Juan (Milan U. ; INFN, Milan) ; Rossi, Marco (Milan U. ; INFN, Milan ; CERN) ; Zaro, Marco (Milan U. ; INFN, Milan)
In this proceedings we present MadFlow, a new framework for the automation of Monte Carlo (MC) simulation on graphics processing units (GPU) for particle physics processes. In order to automate MC simulation for a generic number of processes, we design a program which provides to the user the possibility to simulate custom processes through the MadGraph5_aMC@NLO framework. [...]
arXiv:2105.10529; TIF-UNIMI-2021-3.- 2021 - 6 p. - Published in : EPJ Web Conf. 251 (2021) 03022 Fulltext: 2105.10529 - PDF; document - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.03022
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