Using a Parallel Library of Sparse Linear Algebra in a Fluid Dynamics Application Code on Linux Clusters

摘要

Many computationally intensive problems in engineering and science, such as those driven by Partial Differential Equations (PDEs), give rise to the solution of large and sparse linear systems of equations. Fast and efficient methods for their solution are very important because these systems usually occur in the innermost loop of the computational scheme. Parallelization is often necessary to achieve an acceptable level of performance. We report on our experience in applying a library of sparse linear algebra numerical software for parallel distributed memory machines; we experimented it from inside a well known fluid dynamics application code for engine simulation on Linux clusters.