Publikationsdatum:
2017-04-04
Beschreibung:
The MAGFLOW lava simulation model is a cellular automaton developed
by the Sezione di Catania of the Istituto Nazionale di Geofisica e
Vulcanologia (INGV) and it represents the peak of the evolution of cellbased
models for lava-flow simulation. The accuracy and adherence to
reality achieved by the physics-based cell evolution of MAGFLOW comes
at the cost of significant computational times for long-running simulations.
The present study describes the efforts and results obtained by porting the
original serial code to the parallel computational platforms offered by
modern video cards, and in particular to the NVIDIA Compute Unified
Device Architecture (CUDA). A number of optimization strategies that
have been used to achieve optimal performance on a graphic processing
units (GPU) are also discussed. The actual benefits of running on the GPU
rather than the central processing unit depends on the extent and duration
of the simulated event; for large, long-running simulations, the GPU can
be 70-to-80-times faster, while for short-lived eruptions with a small extents
the speed improvements obtained are 40-to-50 times.
Beschreibung:
Published
Beschreibung:
580-591
Beschreibung:
1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
Beschreibung:
3.6. Fisica del vulcanismo
Beschreibung:
4.3. TTC - Scenari di pericolosità vulcanica
Beschreibung:
JCR Journal
Beschreibung:
open
Schlagwort(e):
GPGPU, Modeling, High-performance computing, Parallel computation, Hazard, Lava
;
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques
;
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation
;
05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions
;
05. General::05.05. Mathematical geophysics::05.05.99. General or miscellaneous
Repository-Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Materialart:
article
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