A new efficient algorithm for computational aeroacoustics on parallel processors (Q1913788)

An efficient, hybrid, data parallel computational aeroacoustics algorithm has been developed for the prediction of noise radiation and scattering from three-dimensional geometries. The algorithm solves the Euler/Navier-Stokes equations in the interior and uses nonreflecting boundary conditions on the outer boundaries. A moving surface Kirchhoff method is coupled to the flow solver for far-field predictions. The algorithm uses standard time and spatial discretization techniques but utilizes several new optimization strategies that are highly suitable for single zone solutions on data parallel processors.