Speaker
Robert Johannes Langenberg
(Technische Universitaet Muenchen (DE))
Description
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 in the future introduce new challenges both in the computational aspects and physics performance of the algorithms. With the aim of taking advantage of modern CPU design and optimising memory and CPU usage in the reconstruction algorithms a number of projects are being pursued. These include rationalisation of the event data model, vectorisation of the core components of the algorithms, and removing algorithm bottlenecks by using modern code analysis tools. We will discuss the technologies and techniques that are being investigated to improve the track reconstruction at ATLAS to make the best use developments of computing technology and to handle the expected increase in event multiplicity.
Primary author
Robert Johannes Langenberg
(Technische Universitaet Muenchen (DE))
Co-authors
Andreas Salzburger
(CERN)
Anthony Morley
(KTH Royal Institute of Technology (SE))
Markus Elsing
(CERN)
Niels Van Eldik
(CERN)
Ruslan Mashinistov
(Russian Academy of Sciences (RU))
