SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, designed with an outlook towards Earth system modelling. At the core of SERGH...

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Bibliographic Details
Published in:Geoscientific Model Development 2023-02, Vol.16 (3), p.977-1008
Main Authors: Caviedes-Voullième, Daniel, Morales-Hernández, Mario, Norman, Matthew R, Özgen-Xian, Ilhan
Format: Article
Language:English
Subjects:
Benchmarks
C plus plus
Codes
Computation
Ecohydrology
Environmental aspects
Floods
Fluid flow
Fluid mechanics
Geomorphology
GEOSCIENCES
Graphics
Graphics processing units
High performance computing
Hydraulics
Hydrodynamics
Hydrology
Landscape design
Modelling
Modules
Physics
Portability
Runoff
Scaling
Shallow water
Shallow water equations
Simulation
Sustainability
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Summary:The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, designed with an outlook towards Earth system modelling. At the core of SERGHEI's innovation is its performance-portable high-performance parallel-computing (HPC) implementation, built from scratch on the Kokkos portability layer, allowing SERGHEI to be deployed, in a performance-portable fashion, in graphics processing unit (GPU)-based heterogeneous systems. In this work, we explore combinations of MPI and Kokkos using OpenMP and CUDA backends. In this contribution, we introduce the SERGHEI model framework and present with detail its first operational module for solving shallow-water equations (SERGHEI-SWE) and its HPC implementation. This module is designed to be applicable to hydrological and environmental problems including flooding and runoff generation, with an outlook towards Earth system modelling. Its applicability is demonstrated by testing several well-known benchmarks and large-scale problems, for which SERGHEI-SWE achieves excellent results for the different types of shallow-water problems. Finally, SERGHEI-SWE scalability and performance portability is demonstrated and evaluated on several TOP500 HPC systems, with very good scaling in the range of over 20 000 CPUs and up to 256 state-of-the art GPUs.
ISSN:1991-9603
1991-959X
1991-962X
1991-9603
1991-962X
DOI:10.5194/gmd-16-977-2023