Highly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review

Contributors

Abstract

To study the complex interactions between cloud processes and the atmosphere, several atmospheric models have been coupled with detailed spectral cloud microphysics schemes. These schemes are computationally expensive, which limits their practical application. Additionally, our performance analysis of the model system COSMO-SPECS (atmospheric model of the Consortium for Small-scale Modeling coupled with SPECtral bin cloud microphysicS) shows a significant load imbalance due to the cloud model. To overcome this issue and enable dynamic load balancing, we propose the separation of the cloud scheme from the static partitioning of the atmospheric model. Using the framework FD4 (Four-Dimensional Distributed Dynamic Data structures), we show that this approach successfully eliminates the load imbalance and improves the scalability of the model system. We present a scalability analysis of the dynamic load balancing and coupling for two different supercomputers. The observed overhead is 6% on 1600 cores of an SGI Altix 4700 and less than 7% on a BlueGene/P system at 64Ki cores.

Details

Original languageEnglish
Title of host publicationApplied Parallel and Scientific Computing
PublisherSpringer, Berlin [u. a.]
Pages131-141
Number of pages11
Publication statusPublished - 2012
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science, Volume 7133
ISSN0302-9743

External IDs

Scopus 84863396927
ORCID /0000-0003-3137-0648/work/142238844

Keywords

Keywords

  • modeling, system

Library keywords