Optimizing MPI Runtime Parameter Settings by Using Machine Learning

Simone Pellegrini, Jie Wang, Thomas Fahringer, Hans Moritsch. Optimizing MPI Runtime Parameter Settings by Using Machine Learning. In Matti Ropo, Jan Westerholm, Jack Dongarra, editors, Recent Advances in Parallel Virtual Machine and Message Passing Interface, 16th European PVM/MPI Users Group Meeting, Espoo, Finland, September 7-10, 2009. Proceedings. Volume 5759 of Lecture Notes in Computer Science, pages 196-206, Springer, 2009. [doi]

@inproceedings{PellegriniWFM09,
  title = {Optimizing MPI Runtime Parameter Settings by Using Machine Learning},
  author = {Simone Pellegrini and Jie Wang and Thomas Fahringer and Hans Moritsch},
  year = {2009},
  doi = {10.1007/978-3-642-03770-2_26},
  url = {http://dx.doi.org/10.1007/978-3-642-03770-2_26},
  tags = {optimization, machine learning},
  researchr = {https://researchr.org/publication/PellegriniWFM09},
  cites = {0},
  citedby = {0},
  pages = {196-206},
  booktitle = {Recent Advances in Parallel Virtual Machine and Message Passing Interface, 16th European PVM/MPI Users  Group Meeting, Espoo, Finland, September 7-10, 2009. Proceedings},
  editor = {Matti Ropo and Jan Westerholm and Jack Dongarra},
  volume = {5759},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-03769-6},
}