traccc: GPU track reconstruction library for HEP experiments
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. traccc implements tracking algorithms used in high energy physics (HEP) experiments, including the Kalman filter–based track finding and fitting. We benchmark the software with data simulated by Geant4 to measure the physics and computing performance. We show that the physics performance for GPU and CPU are very close. We also show that the GPUs can achieve higher computational performance than the CPU for sufficiently large events.
Authors
- J. Niermann (ORCID: https://orcid.org/0000-0003-0069-8907)
- Paul Gessinger (ORCID: https://orcid.org/0009-0008-9367-6646)
- H. M. Gray (ORCID: https://orcid.org/0000-0002-5293-4716)
- Stephen Nicholas Swatman (ORCID: https://orcid.org/0000-0002-3747-3229)
- A. Salzburger (ORCID: https://orcid.org/0000-0001-6004-3510)
- C. Leggett (ORCID: https://orcid.org/0000-0002-9299-9020)
- A. Krasznahorkay (ORCID: https://orcid.org/0000-0002-6468-1381)
- Beomki Yeo
Institutions
- Lawrence Berkeley National Laboratory (US)
- European Organization for Nuclear Research (CH)
- University of California, Berkeley (US)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701187
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- CERN
- Bundesministerium für Bildung und Forschung