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T. Schulthess, P. Bauer, O. Fuhrer, T. Hoefler, C. Schaer, N. Wedi:
	Reflecting on the goal and baseline for exascale computing: a roadmap based on weather and climate simulations (Computing in Science and Engineering (CiSE). IEEE Computer Society, Jan. 2019) Abstract We present a roadmap towards exascale computing based on true application performance goals. It is based on two state-of-the art European numerical weather prediction models (IFS from ECMWF and COSMO from MeteoSwiss) and their current performance when run at very high spatial resolution on present-day supercomputers. We conclude that these models execute about 100-250 times too slow for operational throughput rates at a horizontal resolution of 1 km, even when executed on a full petascale system with nearly 5,000 state-of-the-art hybrid GPU-CPU nodes. Our analysis of the performance in terms of a metric that assesses the efficiency of memory use shows a path to improve the performance of hardware and software in order to meet operational requirements early next decade. Documents download article:
	BibTeX
@article{schulthess-exascale-climats,   author={T. Schulthess and P. Bauer and O. Fuhrer and T. Hoefler and C. Schaer and N. Wedi},   title={{Reflecting on the goal and baseline for exascale computing: a roadmap based on weather and climate simulations}},   journal={Computing in Science and Engineering (CiSE)},   year={2019},   month={Jan.},   publisher={IEEE Computer Society},   source={http://www.unixer.de/~htor/publications/}, }