Climatic Numerical Model Applied in Computing Grid Environments
Peng Wang · Climatic and Environmental Research · 2006
The research of climatic numerical modeling has been long restricted by the insufficient resources and capabilities of the super computers. More and more supercomputing areas are using grid technology to implement distributed computing environments cooperated with multiple sites. Models with two types of computing features, fine-grain and coarse-grain forms classified by data volumes in numerical model communication were employed for grid computing case studies. We carried out experiments in several climatic models and quasi data-parallel model over both local and wide area network. We found that not all climatic models are suitable for grid computing: fine-grain models on wide area network are impractical, while the efficiency of coarse-grain model is acceptable; the better computation effect can be achieved if the computing modes are organized more reasonable. This works can help the climatic researchers to develop applications on the grid platforms, which present a framework of next generation supercomputing.