Generalizing mkFit and its Application to HL-LHC Article Swipe
G. B. Cerati
,
P. Elmer
,
P. Gartung
,
L. Giannini
,
M. J. Kortelainen
,
V. Krutelyov
,
Steven Lantz
,
Mario Masciovecchio
,
Tres Reid
,
Allison Reinsvold Hall
,
Daniel Riley
,
M. Tadel
,
E. Vourliotis
,
P. Wittich
,
Avi Yagil
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/202429503019
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/202429503019
mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both threadand 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. The CMS tracking performs a series of iterations, targeting reconstruction of tracks of increasing difficulty after removing hits associated to tracks found in previous iterations. mkFit has been adopted for several of the tracking iterations, which contribute to the majority of reconstructed tracks. When tested in the standard conditions for production jobs, speedups in track pattern recognition are on average of the order of 3.5x for the iterations where it is used (3-7x depending on the iteration). Multiple factors contribute to the observed speedups, including vectorization and a lightweight geometry description, as well as improved memory management and single precision. Efficient vectorization is achieved with both the icc and the gcc (default in CMSSW) compilers and relies on a dedicated library for small matrix operations, Matriplex, which has recently been released in a public repository. While the mkFit geometry description already featured levels of abstraction from the actual Phase-1 CMS tracker, several components of the implementations were still tied to that specific geometry. We have further generalized the geometry description and the configuration of the run-time parameters, in order to enable support for the Phase-2 upgraded tracker geometry for the HL-LHC and potentially other detector configurations. The implementation strategy and high-level code changes required for the HL-LHC geometry are presented. Speedups in track building from mkFit imply that track fitting becomes a comparably time consuming step of the tracking chain. Prospects for an mkFit implementation of the track fit are also discussed.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/epjconf/202429503019
- https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_03019.pdf
- OA Status
- diamond
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396662080
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396662080Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1051/epjconf/202429503019Digital Object Identifier
- Title
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Generalizing mkFit and its Application to HL-LHCWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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G. B. Cerati, P. Elmer, P. Gartung, L. Giannini, M. J. Kortelainen, V. Krutelyov, Steven Lantz, Mario Masciovecchio, Tres Reid, Allison Reinsvold Hall, Daniel Riley, M. Tadel, E. Vourliotis, P. Wittich, Avi YagilList of authors in order
- Landing page
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https://doi.org/10.1051/epjconf/202429503019Publisher landing page
- PDF URL
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https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_03019.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_03019.pdfDirect OA link when available
- Concepts
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Large Hadron Collider, Physics, Particle physics, Nuclear physicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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