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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.22822 |
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| _version_ | 1866918037610823680 |
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| author | Gessinger, Paul Gray, Heather M. Krasznahorkay, Attila Leggett, Charles Niermann, Joana Salzburger, Andreas Swatman, Stephen Nicholas Yeo, Beomki |
| author_facet | Gessinger, Paul Gray, Heather M. Krasznahorkay, Attila Leggett, Charles Niermann, Joana Salzburger, Andreas Swatman, Stephen Nicholas Yeo, Beomki |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_22822 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | traccc: GPU track reconstruction library for HEP experiments Gessinger, Paul Gray, Heather M. Krasznahorkay, Attila Leggett, Charles Niermann, Joana Salzburger, Andreas Swatman, Stephen Nicholas Yeo, Beomki High Energy Physics - Experiment 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. |
| title | traccc: GPU track reconstruction library for HEP experiments |
| topic | High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2505.22822 |