Position Paper: Locality-Driven Scheduling of Tasks for Data-Dependent Multithreading

@article{Arteaga2014PositionPL,
  title={Position Paper: Locality-Driven Scheduling of Tasks for Data-Dependent Multithreading},
  author={Jaime Arteaga and St{\'e}phane Zuckerman and Elkin Garcia and Guang R. Gao},
  journal={2014 IEEE International Parallel & Distributed Processing Symposium Workshops},
  year={2014},
  pages={1363-1367}
}
Implementing locality-aware scheduling algorithms using fine-programming models may generate scheduling overheads due to the potential elevated number of tasks. In order to reduce such overhead, while increasing at the same time data locality in multithreaded applications, this paper proposes a new technique named Locality-Driven Code Scheduling (LDCS… CONTINUE READING