A clustering framework for task partitioning based on function-level data usage analysis

S. Arash Ostadzadeh, Roel Meeuws, Kamana Sigdel, Koen Bertels. A clustering framework for task partitioning based on function-level data usage analysis. In Paul Chow, Peter Y. K. Cheung, editors, Proceedings of the ACM/SIGDA 17th International Symposium on Field Programmable Gate Arrays, FPGA 2009, Monterey, California, USA, February 22-24, 2009. pages 279, ACM, 2009. [doi]

@inproceedings{OstadzadehMSB09,
  title = {A clustering framework for task partitioning based on function-level data usage analysis},
  author = {S. Arash Ostadzadeh and Roel Meeuws and Kamana Sigdel and Koen Bertels},
  year = {2009},
  doi = {10.1145/1508128.1508183},
  url = {http://doi.acm.org/10.1145/1508128.1508183},
  tags = {rule-based, analysis, data-flow analysis, partitioning},
  researchr = {https://researchr.org/publication/OstadzadehMSB09},
  cites = {0},
  citedby = {0},
  pages = {279},
  booktitle = {Proceedings of the ACM/SIGDA 17th International Symposium on Field Programmable Gate Arrays, FPGA 2009, Monterey, California, USA, February 22-24, 2009},
  editor = {Paul Chow and Peter Y. K. Cheung},
  publisher = {ACM},
  isbn = {978-1-60558-410-2},
}