Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods

Johannes Seiferth, Matthias Korch, Thomas Rauber. Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. In Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief, editors, High Performance Computing - 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22-25, 2020, Proceedings. Volume 12151 of Lecture Notes in Computer Science, pages 370-390, Springer, 2020. [doi]

@inproceedings{SeiferthKR20,
  title = {Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods},
  author = {Johannes Seiferth and Matthias Korch and Thomas Rauber},
  year = {2020},
  doi = {10.1007/978-3-030-50743-5_19},
  url = {https://doi.org/10.1007/978-3-030-50743-5_19},
  researchr = {https://researchr.org/publication/SeiferthKR20},
  cites = {0},
  citedby = {0},
  pages = {370-390},
  booktitle = {High Performance Computing - 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22-25, 2020, Proceedings},
  editor = {Ponnuswamy Sadayappan and Bradford L. Chamberlain and Guido Juckeland and Hatem Ltaief},
  volume = {12151},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50743-5},
}