@misc{10481/87933,
year = {2018},
url = {https://hdl.handle.net/10481/87933},
abstract = {The computational simulation of shallow stratified fluids is a very active research topic because these types
of systems are very common in a variety of natural environments. The simulation of such systems can
be modelled using multilayer shallow-water equations but do impose important computational requisites
especially when applied to large domains.
General Purpose Computing on Graphics Processing Units (GPGPU) has become a vivid research field
due to the arrival of massively parallel hardware platforms (based on graphics cards) and adequate pro-
gramming frameworks which have allowed important speed-up factors with respect to not only sequential
but also parallel CPU based simulation systems.
In this work we present a proposal for the simulation of shallow stratified fluids with an arbitrary number
of layers using GPUs. The designed system does fully adapt to the many-core architecture of modern GPUs
and several experiments have been carried out to illustrate its scalability and behavior on different GPU
models. We propose a new elaborated 3D computational scheme for an underlying 2D mathematical model.
This scheme allowed implementing a system capable of handling an arbitrary number of layers. The system
adds no overhead when used for two-layer scenarios, compared to an existing 2D system specifically designed
for just two layers.
Our proposal is aimed at creating a GPU-based computational scheme suitable for the simulation of
multilayer large-scale real-world scenarios.},
organization = {P11-FQM8179},
organization = {P11-RNM7069},
organization = {MTM2012-38383-C02-01},
title = {Efficient multilayer shallow-water simulation system based on GPUs},
doi = {10.1016/j.matcom.2017.11.008},
author = {Lastra Leidinger, Miguel and Castro Díaz, Manuel Jesús and Ureña Almagro, Carlos and de la Asunción, Marc},
}