Towards petascale simulation of atmospheric circulations with soundproof equations

Date and Time: 
2012 Wednesday, February 22nd
Location: 
ML-132 Main Seminar
Speaker: 
Z.P. Piotrowski

Authors:

Z.P. Piotrowski, P.K. Smolarkiewicz, A.A. Wyszogrodzki

Abstract:

We highlight progress with the development of a petascale implementation of a general-purpose high-resolution, nonoscillatory hydrodynamical simulation code EULAG [Prusa et al. 2008, Comput. Fluids 37, 1193-1207], recently discussed in [Piotrowski et al 2011, Acta Geophys. 59, 1294-1311]. The applications addressed are anelastic atmospheric flows in the range of scales from micro to regional weather prediction to planetary. The new model- domain decomposition into a three dimensional MPI process grid has been implemented to increase model performance and scalability. Scalability of key components of the model, including fully three-dimensional NFT advection scheme MPDATA, preconditioned Krylov-subspace elliptic solver, diffusion operator for generalized time-dependent coordinates and bulk and bin microphysics is disscussed. The performance of the new code is demonstrated on the IBM BlueGene/L and Cray XT4/XT5 supercomputers, up to 60 000 cores. The results show significant improvement of the model efficacy, as compared to the original decomposition into a two-dimensional process grid in the horizontal - a standard in meteorological models. In particular, for isotropic problems we observe significant decrease of the computation time; for strongly anisotropic problems we are able to significantly decrease time-to-solution when additionally using the domain decomposition in the vertical.

Speaker Description: 

Zbigniew Piotrowski  is a Postdoc in the Institute  for Mathematics Applied at the National Center for Atmospheric Research (NCAR), in Boulder, Colorado. Before arriving to NCAR in 2010  he held an appointment at the Institute of Meteorology and Water Management, Poland.  His current interests include petascale simulations of  geophysical flows of all scales, high resolution anelastic models for numerical weather prediction, and numerical realizability of thermal convection.

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