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.
@article{arxiv.2509.15377,
title = {Accelerating Garfield++ with CUDA},
author = {T. Neep and K. Nikolopoulos and M. Slater},
journal= {arXiv preprint arXiv:2509.15377},
year = {2025}
}