Accelerating Garfield++ with CUDA
Year: 2025
Type: article
Abstract: 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.
Source: Journal of Instrumentation
Authors: T. Neep, K. Nikolopoulos, M. Slater
Institutions: University of Birmingham, Universität Hamburg
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,290
OpenAlex ID: W4417280412