Using State-of-the-Art Sparse Matrix Optimizations for Accelerating the Performance of Multiphysics Simulations

Vasileios Karakasis, Georgios I. Goumas, Konstantinos Nikas, Nectarios Koziris, Juha Ruokolainen, Peter Råback. Using State-of-the-Art Sparse Matrix Optimizations for Accelerating the Performance of Multiphysics Simulations. In Pekka Manninen, Per Öster, editors, Applied Parallel and Scientific Computing - 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected Papers. Volume 7782 of Lecture Notes in Computer Science, pages 531-535, Springer, 2012. [doi]

@inproceedings{KarakasisGNKRR12,
  title = {Using State-of-the-Art Sparse Matrix Optimizations for Accelerating the Performance of Multiphysics Simulations},
  author = {Vasileios Karakasis and Georgios I. Goumas and Konstantinos Nikas and Nectarios Koziris and Juha Ruokolainen and Peter Råback},
  year = {2012},
  doi = {10.1007/978-3-642-36803-5_40},
  url = {http://dx.doi.org/10.1007/978-3-642-36803-5_40},
  researchr = {https://researchr.org/publication/KarakasisGNKRR12},
  cites = {0},
  citedby = {0},
  pages = {531-535},
  booktitle = {Applied Parallel and Scientific Computing - 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected Papers},
  editor = {Pekka Manninen and Per Öster},
  volume = {7782},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-36802-8},
}