Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation (regular paper)
Abstract
In this paper, the performance of a parallel sparse direct solver on a shared-memory multicore system is presented. Large size test matrices arising from finite element simulation of induction heating industrial applications are used to evaluate the performance improvements due to low-rank representations and multicore parallelization.