Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski, Nico Trost, Jan-Philipp Weiss. Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs. In Rainer Keller, David Kramer, Jan-Philipp Weiss, editors, Facing the Multicore - Challenge II - Aspects of New Paradigms and Technologies in Parallel Computing [Proceedings of a conference held at the Karlsruhe Institute of Technology (KIT), September 28-30, 2011]. Volume 7174 of Lecture Notes in Computer Science, pages 158-171, Springer, 2011. [doi]

@inproceedings{HeuvelineLTW11,
  title = {Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs},
  author = {Vincent Heuveline and Dimitar Lukarski and Nico Trost and Jan-Philipp Weiss},
  year = {2011},
  doi = {10.1007/978-3-642-30397-5_14},
  url = {http://dx.doi.org/10.1007/978-3-642-30397-5_14},
  researchr = {https://researchr.org/publication/HeuvelineLTW11},
  cites = {0},
  citedby = {0},
  pages = {158-171},
  booktitle = {Facing the Multicore - Challenge II - Aspects of New Paradigms and Technologies in Parallel Computing [Proceedings of a conference held at the Karlsruhe Institute of Technology (KIT), September 28-30, 2011]},
  editor = {Rainer Keller and David Kramer and Jan-Philipp Weiss},
  volume = {7174},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-30396-8},
}