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