TY  - CONF
AU  - Weiglhofer, Felix
AU  - Lindenstruth, Volker
TI  - An Online GPU Hit Finder for the STS Detector in the CBM Experiment
JO  - The European physical journal / Web of Conferences
VL  - 337
SN  - 2100-014X
CY  - Les Ulis
PB  - EDP Sciences
M1  - GSI-2026-00238
SP  - 01300
PY  - 2025
N1  - This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
AB  - The Compressed Baryonic Matter (CBM) experiment at FAIR will operate at interaction rates up to 10 MHz, generating data streams averaging 500 GB/s. This necessitates efficient online reconstruction capabilities, particularly for the Silicon Tracking System (STS), which is the key detector for track reconstruction and contributes a large fraction of the expected data volume. We present a GPU-accelerated hit reconstruction chain for the STS that achieves a 128 speedup over the sequential CPU implementation. The implementation features optimized data structures reducing memory footprint, parallel algorithms for sorting, cluster finding, and hit reconstruction, and portability across GPU architectures. Our custom merge sort outperforms library implementations by 10 
T2  - 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
CY  - 21 Oct 2024 - 25 Oct 2024, Krakow (Poland)
Y2  - 21 Oct 2024 - 25 Oct 2024
M2  - Krakow, Poland
LB  - PUB:(DE-HGF)16 ; PUB:(DE-HGF)8
DO  - DOI:10.1051/epjconf/202533701300
UR  - https://repository.gsi.de/record/364058
ER  -