Pattern-Driven Hybrid Multi- and Many-Core Acceleration in the MPAS Shallow-Water Model

@article{Zhang2015PatternDrivenHM,
  title={Pattern-Driven Hybrid Multi- and Many-Core Acceleration in the MPAS Shallow-Water Model},
  author={Peng Zhang and Yulong Ao and Chao Yang and Yiqun Liu and Fangfang Liu and Changmao Wu and Haitao Zhao},
  journal={2015 44th International Conference on Parallel Processing},
  year={2015},
  pages={71-80}
}
There is an urgent demand in studying efficient methodologies to enable hybrid multi- and many-core accelerations in global climate simulations. The Model for Prediction Across Scales (MPAS) is a family of earth-system component models that receives increasingly more attention. Like many other models, MPAS, though features some emerging numerical algorithms… CONTINUE READING