Mario Morales-Hernández

Dr. Mario Morales-Hernández

Fluid Mechanics, University of Zaragoza, 50018 Zaragoza, Spain
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2021 in Environmental Modelling & Software
Verified
Journal Article
Closed access
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández
BSB. Sharif
B. Sharif
AKA. Kalyanapu
A. Kalyanapu
SGS.K. Ghafoor
S.K. Ghafoor
TDT.T. Dullo
T.T. Dullo
KEK.J. Evans
K.J. Evans

5 January 2019 in Environmental Fluid Mechanics
Verified
Journal Article
Closed access
PDF file
PNPilar García Navarro
Pilar García Navarro
JMJ. Murillo
J. Murillo
JFJ. Fernández-Pato
J. Fernández-Pato
IEI. Echeverribar
I. Echeverribar
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández

8 February 2023 in Geoscientific Model Development
Verified
Journal Article
Open access
PDF file
DVDaniel Caviedes Voullieme
Daniel Caviedes Voullieme
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández
MNMatthew R. Norman
Matthew R. Norman
IÖIlhan Özgen-Xian
Ilhan Özgen-Xian
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.

1 December 2014 in Advances in Engineering Software
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Journal Article
Closed access
ALA. Lacasta
A. Lacasta
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández
JMJ. Murillo
J. Murillo
PGP. García-Navarro
P. García-Navarro

1 July 2013 in Computers & Fluids
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Journal Article
Closed access
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández
PGP. García-Navarro
P. García-Navarro
JBJavier Burguete
Javier Burguete
PBP. Brufau
P. Brufau

4 March 2015 in Environmental Earth Sciences
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Journal Article
Closed access
PDF file
ALAsier Lacasta
Asier Lacasta
Mario Morales-HernándezMario Morales-Hernández
Mario Morales-Hernández
JMJavier Murillo
Javier Murillo
PGPilar García-Navarro
Pilar García-Navarro