Accelerating Garfield++ with CUDA
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915674004127744 |
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| author | Neep, T. Nikolopoulos, K. Slater, M. |
| author_facet | Neep, T. Nikolopoulos, K. Slater, M. |
| contents | Garfield++ is extensively used within the gaseous detector community for comprehensive detector simulations, supporting the full experimental life cycle from design to operation and calibration. The emergence of micro-pattern gaseous detectors has necessitated computationally intensive microscopic avalanche simulations. The acceleration of one of Garfield++'s most demanding algorithms, AvalancheMicroscopic, by porting it to graphics processing units using NVIDIA's CUDA framework is described. The modifications are integrated into the Garfield++ codebase and are accessible to end users with only minor adjustments to their existing code. Benchmark results demonstrate substantial speed-up, especially for high-gain avalanches involving thousands of electrons, thereby enabling more efficient and detailed detector simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15377 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Accelerating Garfield++ with CUDA Neep, T. Nikolopoulos, K. Slater, M. Instrumentation and Detectors Garfield++ is extensively used within the gaseous detector community for comprehensive detector simulations, supporting the full experimental life cycle from design to operation and calibration. The emergence of micro-pattern gaseous detectors has necessitated computationally intensive microscopic avalanche simulations. The acceleration of one of Garfield++'s most demanding algorithms, AvalancheMicroscopic, by porting it to graphics processing units using NVIDIA's CUDA framework is described. The modifications are integrated into the Garfield++ codebase and are accessible to end users with only minor adjustments to their existing code. Benchmark results demonstrate substantial speed-up, especially for high-gain avalanches involving thousands of electrons, thereby enabling more efficient and detailed detector simulations. |
| title | Accelerating Garfield++ with CUDA |
| topic | Instrumentation and Detectors |
| url | https://arxiv.org/abs/2509.15377 |