Parallel SUFIS

Abstract

The performance of oil filters used in the automotive industry can be significantly improved, especially when computer simulation is an essential component of the design process. in this paper, we consider parallel numerical algorithms for solving mathematical models describing the process of filtration, filtering out solid particles from liquid oil. A data decomposition method is used to develop a parallel algorithm, where the domain is distributed among processors by using a structured reference grid. The MPI library is used to implement the data communication part of the algorithm. Results of computational experimentsare presented, and the accurancy and efficiency of the parallel algorithm is tested on real industrial geometries.