The Significance of Affectors and Affectees Correlations for Branch Prediction

Yiannakis Sazeides, Andreas Moustakas, Kypros Constantinides, Marios Kleanthous. The Significance of Affectors and Affectees Correlations for Branch Prediction. In Per Stenström, Michel Dubois, Manolis Katevenis, Rajiv Gupta, Theo Ungerer, editors, High Performance Embedded Architectures and Compilers, Third International Conference, HiPEAC 2008, Göteborg, Sweden, January 27-29, 2008, Proceedings. Volume 4917 of Lecture Notes in Computer Science, pages 243-257, Springer, 2008. [doi]

@inproceedings{SazeidesMCK08,
  title = {The Significance of Affectors and Affectees Correlations for Branch Prediction},
  author = {Yiannakis Sazeides and Andreas Moustakas and Kypros Constantinides and Marios Kleanthous},
  year = {2008},
  doi = {10.1007/978-3-540-77560-7_17},
  url = {http://dx.doi.org/10.1007/978-3-540-77560-7_17},
  researchr = {https://researchr.org/publication/SazeidesMCK08},
  cites = {0},
  citedby = {0},
  pages = {243-257},
  booktitle = {High Performance Embedded Architectures and Compilers, Third International Conference, HiPEAC 2008, Göteborg, Sweden, January 27-29, 2008, Proceedings},
  editor = {Per Stenström and Michel Dubois and Manolis Katevenis and Rajiv Gupta and Theo Ungerer},
  volume = {4917},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-77559-1},
}