SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE)

<p>Advances in high-performance parallel computing have significantly enhanced the speed of large-scale hydrological simulations. However, the diversity and rapid evolution of available computational systems and hardware devices limit model flexibility and increase code maintenance efforts. Th...

Full description

Saved in:
Bibliographic Details
Main Authors: Z. Li, G. Rickert, N. Zheng, Z. Zhang, I. Özgen-Xian, D. Caviedes-Voullième
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/547/2025/gmd-18-547-2025.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:<p>Advances in high-performance parallel computing have significantly enhanced the speed of large-scale hydrological simulations. However, the diversity and rapid evolution of available computational systems and hardware devices limit model flexibility and increase code maintenance efforts. This paper introduces SERGHEI-RE, a three-dimensional, variably saturated subsurface flow simulator within the SERGHEI model framework. SERGHEI-RE adopts the Kokkos-based portable parallelization framework of SERGHEI, which facilitates scalability and ensures performance portability on various computational devices. Moreover, SERGHEI-RE provides options to solve the Richards equation (RE) with iterative or non-iterative numerical schemes, enhancing model flexibility under complex hydrogeological conditions. The solution accuracy of SERGHEI-RE is validated using a series of benchmark tests, ranging from simple infiltration problems to practical hydrological, geotechnical, and agricultural applications. The scalability and performance portability of SERGHEI-RE are demonstrated on a desktop workstation, as well as on multi-CPU and multi-GPU clusters, indicating that SERGHEI-RE is an efficient, scalable, and performance portable tool for large-scale subsurface flow simulations.</p>
ISSN:1991-959X
1991-9603