Performance optimization and load-balancing modeling for superparametrization by 3D les

Gijs Van Den Oord, Maria Chertova, Fredrik Jansson, Inti Pelupessy, Pier Siebesma, Daan Crommelin

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Abstract

In order to eliminate climate uncertainty w.r.t. cloud and convection parametrizations, superpramaterization (SP) [1] has emerged as one of the possible ways forward. We have implemented (regional) superparametrization of the ECMWF weather model OpenIFS [2] by cloud-resolving, three-dimensional large-eddy simulations. This setup, described in [3], contains a two-way coupling between a global meteorological model that resolves large-scale dynamics, with many local instances of the Dutch Atmospheric Large Eddy Simulation (DALES) [4], resolving cloud and boundary layer physics. The model is currently prohibitively expensive to run over climate or even seasonal time scales, and a global SP requires the allocation of millions of cores. In this paper, we study the performance and scaling behavior of the LES models and the coupling code and present our implemented optimizations. We mimic the observed load imbalance with a simple performance model and present strategies to improve hardware utilization in order to assess the feasibility of a world-covering superparametrization. We conclude that (quasi-)dynamical load-balancing can significantly reduce the runtime for such large-scale systems with wide variability in LES time-stepping speeds.

Original languageEnglish
Title of host publicationProceedings of the Platform for Advanced Scientific Computing Conference, PASC 2021
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9781450385633
DOIs
Publication statusPublished - 2021
Event2021 Platform for Advanced Scientific Computing Conference, PASC 2021 - Virtual, Online, Switzerland
Duration: 5 Jul 20219 Jul 2021

Publication series

NameProceedings of the Platform for Advanced Scientific Computing Conference, PASC 2021

Conference

Conference2021 Platform for Advanced Scientific Computing Conference, PASC 2021
CountrySwitzerland
CityVirtual, Online
Period5/07/219/07/21

Keywords

  • Load-balancing
  • Multiscale modeling
  • Superparametrization
  • Weather & climate simulation

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