IEEE Computer SocietyInternational audienceThis paper covers the fast solution of large acoustic problems on low-resources parallel platforms. A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical acoustic method. The geometrical method studied implements a beam-tracing method where intersections are handled as in a ray-tracing method. Beyond the distribution of the global processing upon multiple sub-domains, a second parallelization level is operated by means of multi-threading and shared memory mechanisms. Numerical experiments show that this method allows to handle large scale open domains for parallel computing purposes on few machines. Urban acoustic pollution arrising fr...
Traffic noise mapping of cities requires large computer calculation times. This originates from the ...
Abstract: The methods for the simulation of propagation of sound based on the principles of geometri...
AbstractThe idea of solving large problems using domain decomposition technique appears particularly...
In this paper, a comparison of parallel beam-tracing methods is presented and an original parallel d...
Cette thèse s’intéresse à la simulation acoustique de problèmes de grandes tailles. La parallélisati...
The overall objectives of this research work are to formulate and validate efficient parallel algori...
It is known that convergence rate of Domain Decomposition Method for finite element analysis depends...
The article presents an algorithmic model of sound propagation in rooms to run on parallel and distr...
Three-dimensional reverse-time migration with the constant-density acoustic wave equation requires a...
Many large-scale computational problems are based on irregular (unstructured) domains. Some examples...
Three-dimensional reverse-time migration with the constantdensity acoustic wave equation requires an...
The complexity of the 3D buildings and road networks gives the simulation of urban noise difficulty ...
The time-harmonic acoustic scattering in multi-layered media is modeled with an inhomogeneous Helmho...
Realistic acoustic modeling is essential for spatializing sound in distributed virtual environments ...
Abstract. In this analytical study a 3D nonlinear parallel FEM algorithm was developed to overcome t...
Traffic noise mapping of cities requires large computer calculation times. This originates from the ...
Abstract: The methods for the simulation of propagation of sound based on the principles of geometri...
AbstractThe idea of solving large problems using domain decomposition technique appears particularly...
In this paper, a comparison of parallel beam-tracing methods is presented and an original parallel d...
Cette thèse s’intéresse à la simulation acoustique de problèmes de grandes tailles. La parallélisati...
The overall objectives of this research work are to formulate and validate efficient parallel algori...
It is known that convergence rate of Domain Decomposition Method for finite element analysis depends...
The article presents an algorithmic model of sound propagation in rooms to run on parallel and distr...
Three-dimensional reverse-time migration with the constant-density acoustic wave equation requires a...
Many large-scale computational problems are based on irregular (unstructured) domains. Some examples...
Three-dimensional reverse-time migration with the constantdensity acoustic wave equation requires an...
The complexity of the 3D buildings and road networks gives the simulation of urban noise difficulty ...
The time-harmonic acoustic scattering in multi-layered media is modeled with an inhomogeneous Helmho...
Realistic acoustic modeling is essential for spatializing sound in distributed virtual environments ...
Abstract. In this analytical study a 3D nonlinear parallel FEM algorithm was developed to overcome t...
Traffic noise mapping of cities requires large computer calculation times. This originates from the ...
Abstract: The methods for the simulation of propagation of sound based on the principles of geometri...
AbstractThe idea of solving large problems using domain decomposition technique appears particularly...