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  5. Numerical simulation of lava flow using a GPU SPH model
 
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Numerical simulation of lava flow using a GPU SPH model

Author(s)
Herault, A.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Bilotta, G.  
Università di Catania, Dipartimento di Matematica e Informatica, Catania, Italy  
Vicari, A.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Rustico, E.  
Università di Catania, Dipartimento di Matematica e Informatica, Catania, Italy  
Del Negro, C.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Language
English
Obiettivo Specifico
3.6. Fisica del vulcanismo
4.3. TTC - Scenari di pericolosità vulcanica
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Annals of Geophysics  
Issue/vol(year)
5/54 (2011)
Pages (printed)
600-620
Date Issued
2011
DOI
10.4401/ag-5343
URI
https://www.earth-prints.org/handle/2122/7604
Subjects
04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous  
05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous  
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation  
Subjects

GPGPU, Modeling, HPC,...

Abstract
A smoothed particle hydrodynamics (SPH) method for lava-flow modeling was implemented on a graphical processing unit (GPU) using the compute unified device architecture (CUDA) developed by NVIDIA. This resulted in speed-ups of up to two orders of magnitude. The three-dimensional
model can simulate lava flow on a real topography with free-surface, non-
Newtonian fluids, and with phase change. The entire SPH code has three main components, neighbor list construction, force computation, and integration of the equation of motion, and it is computed on the GPU,
fully exploiting the computational power. The simulation speed achieved is one to two orders of magnitude faster than the equivalent central processing unit (CPU) code. This GPU implementation of SPH allows
high resolution SPH modeling in hours and days, rather than in weeks and months, on inexpensive and readily available hardware.
Type
article
File(s)
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Name

Herault et al 2011.pdf

Size

2.27 MB

Format

Adobe PDF

Checksum (MD5)

7ff9dad997ba647510aa184efd7be620

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