Fluid Dynamics Simulations on Multi-GPU Systems
type: CreativeWork
description: The thesis describes the original design, implementation and testing of the multi-GPU version of two fluid flow simulation models, focusing on the cellular automaton MAGFLOW lava flow simulator and the GPU-SPH model for Navier-Stokes. In both cases, a spatial subdivision of the domain is performed, with a minimal overlap to ensure the correct evaluation of the bordering elements (cells in MAGFFLOW, particles in GPUSPH). The latencies introduces by the continuous transfer of the overlapping borders are completely hidden through the use of asynchronous transfers performed concurrently with computations. Different load balancing techniques are used (a priori for MAGFLOW, a posteriori for GPUSPH) and compared. The obtained speedup is linear with the number of the used devices and closely follows the ideal speedup. The performance results are formally analyzed and discussed. While the results are close to the ideal achievable speedups, some future improvements are hypothesized and open problems are mentioned.
abstract: The thesis describes the original design, implementation and testing of the multi-GPU version of two fluid flow simulation models, focusing on the cellular automaton MAGFLOW lava flow simulator and the GPU-SPH model for Navier-Stokes. In both cases, a spatial subdivision of the domain is performed, with a minimal overlap to ensure the correct evaluation of the bordering elements (cells in MAGFFLOW, particles in GPUSPH). The latencies introduces by the continuous transfer of the overlapping borders are completely hidden through the use of asynchronous transfers performed concurrently with computations. Different load balancing techniques are used (a priori for MAGFLOW, a posteriori for GPUSPH) and compared. The obtained speedup is linear with the number of the used devices and closely follows the ideal speedup. The performance results are formally analyzed and discussed. While the results are close to the ideal achievable speedups, some future improvements are hypothesized and open problems are mentioned.
author: RUSTICO, EUGENIO
language: ita
keywords: GPU, Multi-GPU, fluid, dynamics, fluidodynamics, SPH, CA, Cellular, Automaton, Automata, Load balancing, Parallel Computing, HPC
date published: 2011-12-10
date modified: 2026-07-24T01:35:22Z
provider: Università degli Studi di Catania
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Università degli studi di Catania

PropertyValue
property ID: Handle
value: https://hdl.handle.net/20.500.11769/585930