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Preparing the track reconstruction in ATLAS for a high multiplicity future
KTH, School of Engineering Sciences (SCI), Physics.
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2014 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 513, no TRACK 2, 022018Article in journal (Refereed) Published
Abstract [en]

The track reconstruction algorithms of the ATLAS experiment have demonstrated excellent performance in all of the data delivered so far by the LHC. The expected large increase in the number of interactions per bunch crossing introduces new challenges both in the computational aspects and physics performance of the algorithms. With the aim of taking advantage of modern CPU design and optimizing memory and CPU usage in the reconstruction algorithms a number of projects are being pursued. These include rationalization of the event data model, vectorization of the core components of the algorithms, and removing algorithm bottlenecks by using modern code analysis tools. Recent results of the advances made in these ongoing projects indicate up to three-fold speedup in the optimized modules while in some modules the code size could be reduced by up to 97% leading to higher readability, maintainability and decreased interface complexity.

Place, publisher, year, edition, pages
2014. Vol. 513, no TRACK 2, 022018
Keyword [en]
Nuclear physics, ATLAS experiment, Computational aspects, Core components, High multiplicity, Interface complexity, Reconstruction algorithms, Removing algorithms, Track reconstruction, Algorithms
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-167548DOI: 10.1088/1742-6596/513/2/022018ISI: 000342287200060Scopus ID: 2-s2.0-84903642603OAI: oai:DiVA.org:kth-167548DiVA: diva2:818334
Conference
14 October 2013 through 18 October 2013, Amsterdam
Note

QC 20150608

Available from: 2015-06-08 Created: 2015-05-22 Last updated: 2017-12-04Bibliographically approved

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Output format
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