SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations

William Pugh, Tatiana Shpeisman. SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations. In Siddhartha Chatterjee, Jan Prins, Larry Carter, Jeanne Ferrante, Zhiyuan Li, David C. Sehr, Pen-Chung Yew, editors, Languages and Compilers for Parallel Computing, 11th International Workshop, LCPC 98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings. Volume 1656 of Lecture Notes in Computer Science, pages 213-229, Springer, 1998. [doi]

@inproceedings{PughS98,
  title = {SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations},
  author = {William Pugh and Tatiana Shpeisman},
  year = {1998},
  url = {http://link.springer.de/link/service/series/0558/bibs/1656/16560213.htm},
  researchr = {https://researchr.org/publication/PughS98},
  cites = {0},
  citedby = {0},
  pages = {213-229},
  booktitle = {Languages and Compilers for Parallel Computing, 11th International Workshop, LCPC 98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings},
  editor = {Siddhartha Chatterjee and Jan Prins and Larry Carter and Jeanne Ferrante and Zhiyuan Li and David C. Sehr and Pen-Chung Yew},
  volume = {1656},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-66426-2},
}