Optimization of a high-performance tracking algorithm on GPUs for the Inner Tracking System of the ALICE experiment
Franco Dessena
Optimization of a high-performance tracking algorithm on GPUs for the Inner Tracking System of the ALICE experiment.
Rel. Stefania Bufalino, Massimo Masera. Politecnico di Torino, Master of science program in Computer Engineering, 2018
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Abstract
The subject of this thesis is the design and the optimization of a fast track-ing algorithm that will be used for the innermost detector of the ALICE (A LargeIon Collider Experiment) experiment installed at the CERN Large Hadron Collider(LHC) in Geneva. In 2019, after the end of the Long Shutdown 2 (LS2), the In-ner Tracking System (ITS) of ALICE will be upgraded and equipped with a newsilicon detector. This new detector has been designed to fulll the Run 3 physicsrequirements, which consist rst of all in an incremented collision rate that canreach 50 kHz of frequency for collisions between lead ions.
Along with an hardwareupgrade, also the software must be upgraded in order to match the new requiredperformances.The 7 layers, which compose the new detector, will be hit by the particles gener-ated from the collision between proton-proton (p-p), proton-lead (p-Pb) or lead-lead(Pb-Pb)
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