traccc: GPU track reconstruction library for HEP experiments

¹ European Organization for Nuclear Research, Meyrin, 1211, Switzerland
² Department of Physics, University of California, Berkeley, CA 94720, USA
³ Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
⁴ Department of Physics, University of Massachusetts at Amherst, Amherst, MA 01003, USA

^* e-mail: beomki.yeo@berkeley.edu

Published online: 7 October 2025

Abstract

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.