Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization

Arkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali. Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization. In Eduard Ayguadé, Gerald Baumgartner, J. Ramanujam, P. Sadayappan, editors, Languages and Compilers for Parallel Computing, 18th International Workshop, LCPC 2005, Hawthorne, NY, USA, October 20-22, 2005, Revised Selected Papers. Volume 4339 of Lecture Notes in Computer Science, pages 259-273, Springer, 2005. [doi]

@inproceedings{EpshteynGDPRLYP05,
  title = {Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization},
  author = {Arkady Epshteyn and María Jesús Garzarán and Gerald DeJong and David A. Padua and Gang Ren and Xiaoming Li and Kamen Yotov and Keshav Pingali},
  year = {2005},
  doi = {10.1007/978-3-540-69330-7_18},
  url = {http://dx.doi.org/10.1007/978-3-540-69330-7_18},
  tags = {empirical, optimization, search, systematic-approach},
  researchr = {https://researchr.org/publication/EpshteynGDPRLYP05},
  cites = {0},
  citedby = {0},
  pages = {259-273},
  booktitle = {Languages and Compilers for Parallel Computing, 18th International Workshop, LCPC 2005, Hawthorne, NY, USA, October 20-22, 2005, Revised Selected Papers},
  editor = {Eduard Ayguadé and Gerald Baumgartner and J. Ramanujam and P. Sadayappan},
  volume = {4339},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-69329-1},
}