GPU Computing for Particle Tracking
Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA
Proceedings of 2011 Particle Accelerator Conference, 2011
This is a feasibility study of using a modern Graphics Processing Unit (GPU) to parallelize the accelerator particle tracking code. To demonstrate the massive parallelization features provided by GPU computing, a simplified TracyGPU program is developed for dynamic aperture calculation. Performances, issues, and challenges from introducing GPU are also discussed.
December 1, 2011 by hgpu
