2025-03-17
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Experience with the alpaka performance portability library in the CMS software
/ ius ; ejdl
To achieve better computational efficiency and exploit a wider range of computing resources, the CMS software framework (CMSSW) has been extended to offload part of the physics reconstruction to NVIDIA GPUs. To support additional back-ends, as well to avoid the need to write, validate and maintain a separate implementation of the reconstruction algorithms for each back-end, CMS has adopted the Alpaka performance portability library.
Alpaka (Abstraction Library for Parallel Kernel Acceleration) is a header-only C++ library that provides performance portability across different back-ends, abstracting the underlying levels of parallelism. [...]
CMS-CR-2025-095.-
Geneva : CERN, 2025 - 9 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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2025-03-17
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2025-03-17
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Probing global symmetries with top and Higgs at CMS
/ Chanon, Nicolas Pierre (IP2I, Lyon)
/CMS Collaboration
Several global symmetries of the Standard Model Lorentz invariance, CPT and CP symmetries are tested with top quarks and Higgs bosons using LHC data collected with the CMS detector. Top-antitop ($t\bar{t}$) production is used to probe CPT symmetry and Lorentz invariance. [...]
CMS-CR-2025-076.-
Geneva : CERN, 2025 - 8 p.
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2025-03-17
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2025-03-17
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2025-03-11
14:07 |
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2025-03-11
14:07 |
Kalman filter for muon reconstruction in the CMS Phase-2 endcap calorimeter
/ Matthewman, Mark (Purdue U.) ; Rovere, Marco (CERN) ; Waltenberger, Wolfgang (Vienna, OAW) ; Brondolin, Erica (CERN)
/CMS Collaboration
The High Luminosity phase of the LHC (HL-LHC) will offer a greatly increased number of events for more precise standard model measurements and BSM searches. To cope with the harsh environment created by numerous simultaneous proton-proton collisions, the CMS Collaboration has begun construction of a new endcap calorimeter, the High-Granularity Calorimeters (HGCAL). [...]
CMS-CR-2025-073.-
Geneva : CERN, 2025 - 9 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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2025-03-11
14:07 |
Operational experience from the Spanish CMS Analysis Facility at CIEMAT
/ Cardenas-Montes, M ; Delgado, J ; Delgado Peris, Antonio (Madrid, CIEMAT) ; Flix Molina, Jose (Madrid, CIEMAT) ; Hernandez, Jonathan Matthew (UC, San Diego) ; Morcillo Perez, Cecilia Maria (Madrid, CIEMAT) ; Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Rodriguez Calonge, F.J ; Torradeflot, F
/CMS Collaboration
The anticipated surge in data volumes generated by the LHC in the coming years, especially during the High-Luminosity LHC phase, will reshape how physicists conduct their analysis. This necessitates a shift in programming paradigms and techniques for the final stages of analysis. [...]
CMS-CR-2025-072.-
Geneva : CERN, 2025 - 9 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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2025-03-11
14:07 |
Heterogeneous reconstruction of hadronic particle flow clusters with the Alpaka Portability Library
/ Bocci, Andrea (CERN) ; Das, Abhishek (Notre Dame U.) ; Hatakeyama, Kenichi (Baylor U.) ; Lorkowski, Florian (DESY) ; Pantaleo, Felice (CERN) ; Redjeb, Wahid (Aachen, Tech. Hochsch.) ; Samudio, Jonathan Jacob (Baylor U.) ; Saunders, Mark Douglas (Baylor U.)
/CMS Collaboration
In response to increasing data challenges, CMS has adopted the use of GPU offloading at the High-Level Trigger (HLT). However, GPU code is often hardware specific, and increases the maintenance burden on software development. [...]
CMS-CR-2025-066.-
Geneva : CERN, 2025 - 8 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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2025-03-11
14:07 |
Comparative analysis of Machine Learning-based eviction
techniques and LRU mechanisms for CMS data caching
/ Delgado Peris, Antonio (Madrid, CIEMAT) ; Flix Molina, Jose (Madrid, CIEMAT) ; Hernandez, Jonathan Matthew (UC, San Diego) ; Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Rodriguez Calonge, F.J ; Serrano, P ; Sikora, A ; Vilalta, J
/CMS Collaboration
The Large Hadron Collider (LHC) at CERN in Geneva is preparing for a major upgrade that will improve both its accelerator and particle detectors. This strategic move comes in anticipation of a tenfold increase in proton-proton collisions, expected to kick off by 2030 in the upcoming high-luminosity phase. [...]
CMS-CR-2025-064.-
Geneva : CERN, 2025 - 9 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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