A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment

Tetsuya Sakurai, Kentaro Hayakawa, Mitsuhisa Sato, Daisuke Takahashi. A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment. In Jack Dongarra, Kaj Madsen, Jerzy Wasniewski, editors, Applied Parallel Computing, State of the Art in Scientific Computing, 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004, Revised Selected Papers. Volume 3732 of Lecture Notes in Computer Science, pages 1151-1158, Springer, 2004. [doi]

@inproceedings{SakuraiHST04,
  title = {A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment},
  author = {Tetsuya Sakurai and Kentaro Hayakawa and Mitsuhisa Sato and Daisuke Takahashi},
  year = {2004},
  doi = {10.1007/11558958_138},
  url = {http://dx.doi.org/10.1007/11558958_138},
  tags = {meta-model, Meta-Environment, meta-objects},
  researchr = {https://researchr.org/publication/SakuraiHST04},
  cites = {0},
  citedby = {0},
  pages = {1151-1158},
  booktitle = {Applied Parallel Computing, State of the Art in Scientific Computing, 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004, Revised Selected Papers},
  editor = {Jack Dongarra and Kaj Madsen and Jerzy Wasniewski},
  volume = {3732},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-29067-2},
}