The U.S. CMS HL-LHC R and D Strategic Plan

Gutsche, Oliver; Lannon, Kevin; Melo, Andrew; Hufnagel, Dirk; Bauerdick, Lothar; Bloom, Kenneth; Bose, Tulika; Sperka, David; Gray, Lindsey; Votava, Margaret; Holzman, Burt; Sehrish, Saba; Hildreth, Mike; Mason, David; Liu, Mia; Letts, James

doi:10.1051/epjconf/202429504050

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CMS Note
Report number	arXiv:2312.00772 ; FERMILAB-CONF-23-531-CSAID-PPD ; CMS-CR-2023-131
Title	The U.S. CMS HL-LHC R and D Strategic Plan
Author(s)	Gutsche, Oliver (Fermilab) ; Bose, Tulika (Wisconsin U., Madison) ; Votava, Margaret (Fermilab) ; Mason, David (Fermilab) ; Melo, Andrew (Vanderbilt U.) ; Liu, Mia (Purdue U.) ; Hufnagel, Dirk (Fermilab) ; Gray, Lindsey (Fermilab) ; Hildreth, Mike (Notre Dame U.) ; Holzman, Burt (Fermilab) ; Lannon, Kevin (Notre Dame U.) ; Sehrish, Saba (Fermilab) ; Sperka, David (Boston U.) ; Letts, James (UC, San Diego) ; Bauerdick, Lothar (Fermilab) ; Bloom, Kenneth (U. Nebraska, Lincoln)
Publication	2024
Imprint	25 Aug 2023
Number of pages	8
Note	CHEP2023 proceedings, to be published in EPJ Web of Conferences
Published in:	EPJ Web Conf. 295 (2024) 04050
Presented at	26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
DOI	10.1051/epjconf/202429504050
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; CMS
Keywords	Computing
Abstract	The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing infrastructure. The mission of the U.S. CMS Software and Computing Operations Program is to develop and operate the software and computing resources necessary to process CMS data expeditiously and to enable U.S. physicists to fully participate in the physics of CMS. We have developed a strategic plan to prioritize R and D efforts to reach this goal for the HL-LHC. This plan includes four grand challenges modernizing physics software and improving algorithms, building infrastructure for exabyte-scale datasets, transforming the scientific data analysis process and transitioning from R and D to operations. We are involved in a variety of R and D projects that fall within these grand challenges. In this talk, we will introduce our four grand challenges and outline the R and D program of the U.S. CMS Software and Computing Operations Program.
Other source	Inspire
Copyright/License	preprint: (License: arXiv nonexclusive-distrib 1.0) CC-BY-4.0

$Estimated computing resource needs for CMS~\cite{bib:cmsofflinecomputingresults}. Shown are the modeled annual projections of total CPU and disk needs for CMS through Run 4. The estimated needs for each computing model scenario are shown by the blue lines. The gray band shows the projected resource availability for an example scenario that extrapolates the 2021 CMS pledged resources using an annual increase in available resources of between 10\% and 20\%. This assumes current WLCG cost projections~\cite{campana_simone_2021_5499655} and a warranty + 3 years replacement cycle of hardware.$ $Estimated computing resource needs for CMS~\cite{bib:cmsofflinecomputingresults}. Shown are the modeled annual projections of total CPU and disk needs for CMS through Run 4. The estimated needs for each computing model scenario are shown by the blue lines. The gray band shows the projected resource availability for an example scenario that extrapolates the 2021 CMS pledged resources using an annual increase in available resources of between 10\% and 20\%. This assumes current WLCG cost projections~\cite{campana_simone_2021_5499655} and a warranty + 3 years replacement cycle of hardware.$ $Estimated computing resource needs for CMS~\cite{bib:cmsofflinecomputingresults}. Shown are the modeled annual projections of total CPU and disk needs for CMS through Run 4. The estimated needs for each computing model scenario are shown by the blue lines. The gray band shows the projected resource availability for an example scenario that extrapolates the 2021 CMS pledged resources using an annual increase in available resources of between 10\% and 20\%. This assumes current WLCG cost projections~\cite{campana_simone_2021_5499655} and a warranty + 3 years replacement cycle of hardware.$ Show more plots

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レコード　生成： 2023-09-25, 最終変更： 2024-10-30

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