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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7603

Authors: Bilotta, G.*
Rustico, E.*
Herault, A.*
Vicari, A.*
Russo, G.*
Del Negro, C.*
Gallo, G.*
Title: Porting and optimizing MAGFLOW on CUDA
Title of journal: Annals of Geophysics
Series/Report no.: 5/54 (2011)
Issue Date: 2011
DOI: 10.4401/ag-5341
Keywords: GPGPU, Modeling, High-performance computing, Parallel computation, Hazard, Lava
Abstract: 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.
Appears in Collections:Papers Published / Papers in press
04.08.07. Instruments and techniques
05.02.03. Volcanic eruptions
05.05.99. General or miscellaneous
05.01.05. Algorithms and implementation

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