Thesis Open Access

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Huebl, Axel


BibTeX Export

@phdthesis{huebl_axel_2019_3266820,
  author       = {Huebl, Axel},
  title        = {{PIConGPU: Predictive Simulations of Laser-Particle 
                   Accelerators with Manycore Hardware}},
  school       = {Technische Universität Dresden},
  year         = 2019,
  month        = jul,
  note         = {{This is the dissertation of Axel Huebl (German 
                   spelling: Hübl) to achieve the academic degree
                   Doctor rerum naturalium (Dr. rer. nat.). The
                   thesis was defended on July 25th, 2019 at
                   Technische Universität Dresden and was assessed
                   with the grade "summa cum laude" (with highest
                   distinction).  Additional funding sources not
                   already linked in the meta data: This research
                   used resources of the Oak Ridge Leadership
                   Computing Facility at the Oak Ridge National
                   Laboratory, which is supported by the Office of
                   Science of the U.S. Department of Energy under
                   Contract No. DE-AC05-00OR22725. This project
                   received funding within the MEPHISTO project
                   (BMBF-Förderkennzeichen 01IH16006C). The GPU
                   Center of Excellence Dresden provided a framework
                   for many fruitful projects and travel funding,
                   sponsored by the Nvidia Corporation.}},
  doi          = {10.5281/zenodo.3266820},
  url          = {https://doi.org/10.5281/zenodo.3266820}
}
322
213
views
downloads
All versions This version
Views 322324
Downloads 213213
Data volume 5.3 GB5.3 GB
Unique views 290292
Unique downloads 166166

Share

Cite as