Ensemble averaging parallel-in-time approach for industrial LES

Abstract

Abstract Computational Fluid Dynamics for industrial applications usually relies on RANS modeling instead of LES, as the latter is more expensive and requires much longer simulation times. In order to reduce the computational cost of the simulation, an ensemble averaging parallel-in-time approach is presented so that the simulation time of LES simulations can be reduced up to overnight lengths by exploting the benefits of using sparse matrix-matrix products, SpMM, instead of the classic sparse matrix-vector products, SpMV, or SpMV-like stencil-based kernels, as it might lead to a speed-up given the proper conditions. These conditions are tested for a classical differentially heated cavity benchmark, to apply later on to the simulation of a CSP collector, as it is a well-known academic case that resembles the final geometry.