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1.
High-Precision Mass Measurements of Neutron Deficient Silver Isotopes Probe the Robustness of the <math display="inline"><mrow><mi>N</mi><mo>=</mo><mn>50</mn></mrow></math> Shell Closure / Ge, Zhuang (Jyvaskyla U.) ; Reponen, Mikael (Jyvaskyla U.) ; Eronen, Tommi (Jyvaskyla U.) ; Hu, Baishan (TRIUMF ; ORNL, Oak Ridge (main) ; Oak Ridge) ; Kortelainen, Markus (Jyvaskyla U.) ; Kankainen, Anu (Jyvaskyla U.) ; Moore, Iain (Jyvaskyla U.) ; Nesterenko, Dmitrii (Jyvaskyla U.) ; Yuan, Cenxi (SYSU, Guangzhou) ; Beliuskina, Olga (Jyvaskyla U.) et al.
High-precision mass measurements of exotic $^{95-97}$Ag isotopes close to the $N = Z$ line have been conducted with the JYFLTRAP double Penning trap mass spectrometer, with the silver ions produced using the recently commissioned inductively-heated hot cavity catcher laser ion source at the Ion Guide Isotope Separator On-Line facility. The atomic mass of $^{95}$Ag was directly determined for the first time. [...]
arXiv:2401.07976.- 2024-09-26 - 9 p. - Published in : Phys. Rev. Lett. 133 (2024) 132503 Fulltext: PDF;
2.
Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code / CMS Collaboration
In the past years the landscape of tools for expressing parallel algorithms in a portable way across various compute accelerators has continued to evolve significantly. There are many technologies on the market that provide portability between CPU, GPUs from several vendors, and in some cases even FPGAs. [...]
CMS-CR-2023-127.- Geneva : CERN, 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 11008 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
3.
Generalizing mkFit and its Application to HL-LHC / CMS Collaboration
MkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R\&D; phase to deployment in the Run-3 offline workflow of the CMS experiment. [...]
arXiv:2312.11728.- Geneva : CERN, 2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 03019 Fulltext: 2312.11728 - PDF; document - PDF; 370f51ee2dbcaf5c3b924369a92edb56 - PDF; CR2023_138 - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.03019
4.
Performance of Heterogeneous Algorithm Scheduling in CMSSW / Bocci, Andrea (CERN) ; Jones, Christopher Duncan (Fermilab) ; Kortelainen, Matti Johannes (Fermilab) /CMS Collaboration
The CMS experiment started to utilize Graphics Processing Units (GPU) to accelerate the online reconstruction and event selection running on its High Level Trigger (HLT) farm in the 2022 data taking period. The projections of the HLT farm to the High-Luminosity LHC foresee a significant use of compute accelerators in the LHC Run 4 and onwards in order to keep the cost, size, and power budget of the farm under control. [...]
CMS-CR-2023-132.- Geneva : CERN, 2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 11017 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
5.
Performance portability for the CMS Reconstruction with Alpaka / Bocci, Andrea (CERN) ; Czirkos, Angela (CERN) ; Di Pilato, Antonio (CASUS) ; Pantaleo, Felice (CERN) ; Hugo, Gabrielle (CERN) ; Kortelainen, Matti (Fermilab) ; Redjeb, Wahid (CERN ; Aachen, Tech. Hochsch.) /CMS Collaboration
For CMS, Heterogeneous Computing is a powerful tool to face the computational challenges posed by the upgrades of the LHC, and will be used in production at the High Level Trigger during Run 3. In principle, to offload the computational work on non-CPU resources, while retaining their performance, different implementations of the same code are required. [...]
2023 - 6 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012058 Fulltext: PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012058
6.
Development of the CMS detector for the CERN LHC Run 3 / CMS Collaboration
Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which started in 2022. [...]
arXiv:2309.05466; CMS-PRF-21-001; CERN-EP-2023-136; CMS-PRF-21-001-003.- Geneva : CERN, 2024-05-23 - 257 p. - Published in : JINST 19 (2024) P05064 Fulltext: CMS-PRF-21-001-arXiv - PDF; 2309.05466 - PDF; Fulltext from Publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
In : The Large Hadron Collider and The Experiments for Run 3
7.
Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3 / CMS Collaboration
One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fitting charged-particle tracks during event reconstruction. [...]
arXiv:2304.05853.
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Fulltext
8.
First measurement of the forward rapidity gap distribution in pPb collisions at $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 8.16 TeV / CMS Collaboration
For the first time at LHC energies, the forward rapidity gap spectra from proton-lead collisions for both proton and lead dissociation processes are presented. The analysis is performed over 10.4 units of pseudorapidity at a center-of-mass energy per nucleon pair of $ \sqrt{\smash[b]{s_{_{\mathrm{NN}}}}} = $ 8.16 TeV, almost 300 times higher than in previous measurements of diffractive production in proton-nucleus collisions. [...]
arXiv:2301.07630; CMS-HIN-18-019; CERN-EP-2022-164; CMS-HIN-18-019-003.- Geneva : CERN, 2023-11-01 - 25 p. - Published in : Phys. Rev. D 108 (2023) 092004 Fulltext: PDF; Fulltext from Publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
9.
Heterogeneous techniques for rescaling energy deposits in the CMS Phase-2 endcap calorimeter / Alves, Bruno (CERN) ; Bocci, Andrea (CERN) ; Kortelainen, Matti (Fermilab) ; Pantaleo, Felice (CERN) ; Rovere, Marco (CERN)
We present the porting to heterogeneous architectures of the algorithm used for applying linear transformations of raw energy deposits in the CMS High Granularity Calorimeter (HGCAL). This is the first heterogeneous algorithm to be fully integrated with HGCAL’s reconstruction chain. [...]
FERMILAB-CONF-21-763-SCD.- 2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 04017 Fulltext: document - PDF; fermilab-conf-21-763-scd - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.04017
10.
Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction / Kortelainen, Matti J (Fermilab) ; Kwok, Martin (Fermilab) /CMS Collaboration
The management of separate memory spaces of CPUs and GPUs brings an additional burden to the development of software for GPUs. To help with this, CUDA unified memory provides a single address space that can be accessed from both CPU and GPU. [...]
FERMILAB-CONF-21-064-SCD.- 2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 03035 Fulltext: fermilab-conf-21-064-scd - PDF; document - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.03035

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