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DTSTART;TZID=Europe/Stockholm:20230628T150000
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UID:submissions.pasc-conference.org_PASC23_sess137_msa124@linklings.com
SUMMARY:HPC Code Generation Framework for the Discontinuous Galerkin Metho
 d as a Technology Demonstrator for Digital Twins
DESCRIPTION:Minisymposium\n\nSara Faghih-Naini (University of Bayreuth, Un
 iversity of Erlangen-Nuremberg); Sebastian Kuckuk (Friedrich-Alexander-Uni
 versität Erlangen-Nürnberg); and Vadym Aizinger (University of Bayreuth)\n
 \nNowadays, automatic code generation and domain-specific languages are am
 ong the most promising methodologies for the future development of numeric
 al weather prediction models and digital twins. As a technology demonstrat
 or for new weather and climate models, we present the automatic code gener
 ation framework ExaStencils with its Python frontend GHODDESS, which is sp
 ecialized towards discontinuous Galerkin discretizations for a shallow wat
 er model. Our implementation serves as a test platform for a range of new 
 numerical, algorithmic, and computational technologies with the potential 
 to be incorporated into digital twins after successful evaluation. First, 
 we re-formulate the conservative shallow water equations in a way that avo
 ids fraction-type nonlinearities and is suited for quadrature-free integra
 tion. Furthermore, we show an algorithm re-design that achieves improved h
 ardware usage on a heterogeneous CPU-GPU system and significantly speeds u
 p the computations. Lastly, we present masked block-structured grids for r
 ealistic ocean domains, which on the one hand, are capable of accurately m
 eshing fine-scale geometric features and, on the other, offer performance 
 benefits associated with structured grid models.\n\nDomain: Climate, Weath
 er and Earth Sciences\n\nSession Chair: Balthasar Reuter (ECMWF)
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