Publications of Torsten Hoefler

Thomas Schulthess, P. Bauer, Oliver Fuhrer, Torsten 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). Vol 21, Nr. 1, IEEE Computer Society, ISSN: 1521-9615, Jan. 2019)

Publisher Reference

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.

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BibTeX

@article{schulthess-exascale-climats,
  author={Thomas Schulthess and P. Bauer and Oliver Fuhrer and Torsten 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.},
  volume={21},
  number={1},
  publisher={IEEE Computer Society},
  issn={1521-9615},
  source={http://www.unixer.de/~htor/publications/},
}


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