Beam-tracing domain decomposition method for urban acoustic pollution

TL;DR

This paper introduces a novel domain decomposition method combined with dynamic load balancing to efficiently solve large-scale urban acoustic pollution problems using parallel computing, demonstrated on a model of Tokyo's Shinjuku district.

Contribution

A new domain decomposition approach with multi-level parallelization significantly improves the efficiency of geometrical acoustic simulations on low-resource platforms.

Findings

Effective handling of large-scale urban acoustic models.

Achieved good speed-up in parallel computations.

Successfully simulated traffic noise in Tokyo's Shinjuku district.

Abstract

This 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 from car traffic was simulated on a large model of the Shinjuku district of Tokyo, Japan. The good speed-up results illustrate the performance of this new domain decomposition method.