Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies

Benoît Gallet, Michael Gowanlock. Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies. Data Science and Engineering, 6(1):39-62, 2021. [doi]

@article{GalletG21,
  title = {Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies},
  author = {Benoît Gallet and Michael Gowanlock},
  year = {2021},
  doi = {10.1007/s41019-020-00145-x},
  url = {https://doi.org/10.1007/s41019-020-00145-x},
  researchr = {https://researchr.org/publication/GalletG21},
  cites = {0},
  citedby = {0},
  journal = {Data Science and Engineering},
  volume = {6},
  number = {1},
  pages = {39-62},
}