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Additional info for Atmospheric Model Applications
We plan to study this implementation for higher resolutions, obtaining heavier workloads. 4. Related work Parallel applications scalability is the focus of several papers in the literature. , 2008) the authors execute the high resolution WRF weather forecast code over 15k cores and conclude that one of the greatest bottlenecks is data storage. , 2009) to evaluate ﬁle system caching and pre-fetching optimizations to many-core concurrent I/O, achieving improvements of 100%. I/O contention on multi-core systems is also a known issue in the literature and few strategies to mitigate the performance loss can be found.
Liu, Y. & ˘ Ta ˇ multi-scale Wang, D. (2001). The advanced regional prediction system (ARPS)âA nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications, Meteorol Atmos Phys 76: 143 – 165. , Brewster, K. & Droegemeier, K. K. (2003).
And Marshall,J. Representation of topography by shaved cells in a height ˝ coordinate ocean model, Monthly Weather Review, 125:2293U2315, 1997. ; Kassick, R. ; Dias, P. & Panetta,J. (2011). I/O Performance of a Large Atmospheric using PVSF, Proceedings of Renpar20 / SympA14/ CFSE8 INRIA, Saint-Malo, France. ; Harrington, J. & Jiang, H. RAMS 2000: Current status and future directions, Meteorol. and Atmos. , 82, 5-29, 2003. Govett, M. et al. (2010). Running the NIM Next-Generation Weather Model on GPUs, Proceedings of 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Melborne, Australia, pp.