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31 May 2022 to 2 June 2022
Princeton University
US/Eastern timezone

Standalone track reconstruction and matching algorithms for GPU-based High level trigger at LHCb

2 Jun 2022, 12:10
15m
PCTS conference room (4th floor) (Jadwin Hall, Princeton University)

PCTS conference room (4th floor)

Jadwin Hall, Princeton University

Plenary YSF Plenary

Speaker

Mr Brij Kishor Jashal (Instituto de Física Corpuscular, Valencia)

Description

The LHCb Upgrade in Run 3 has changed its trigger scheme for a full software selection in two steps. The first step, HLT1, will be entirely implemented on GPUs and run a fast selection aiming at reducing the visible collision rate from 30 MHz to 1 MHz.
This selection relies on a partial reconstruction of the event. A version of this reconstruction starts with two monolithic tracking algorithms, the VELO-pixel tracking and the HybridSeeding on Scintillating-Fiber tracker, which reconstructs track segments in standalone sub-detectors. Those segments are then matched through a matching algorithm in order to produce 'long' tracks, which form the base of the HLT1 reconstruction.
We discuss the principle of these algorithms as well as the details of their implementation which allows them to run at a high-throughput configuration. An emphasis is put on the optimizations of the algorithms themselves in order to take advantage of the GPU architecture. Finally, results are presented in the context of the LHCb performance requirements for Run 3

Consider for young scientist forum (Student or postdoc speaker) Yes

Primary author

Mr Brij Kishor Jashal (Instituto de Física Corpuscular, Valencia)

Co-authors

Arantza De Oyanguren Campos (Univ. of Valencia and CSIC (ES)) Christina Agapopoulou (Centre National de la Recherche Scientifique (FR)) Lukas Calefice (Technische Universität Dortmund (DE), LPNHE/Sorbonne Université (FR)) Arthur Hennequin (Massachusetts Inst. of Technology (US)) Louis Henry (CERN) Jiahui Zhuo (Univ. of Valencia and CSIC (ES))

Presentation materials

Peer reviewing

Paper