Parallel assembling and equation solving via graph algorithms with an application to the FE simulation of metal extrusion processes
We propose methods for parallel assembling and iterative equation solving based on graph algorithms. The assembling technique is independent of dimension, element type and model shape. As a parallel solving technique we construct a multiplicative symmetric Schwarz preconditioner for the conjugate gradient method. Both methods have been incorporated into a non-linear FE code to simulate 3D metal extrusion processes. We illustrate the efficiency of these methods on shared memory computers by realistic examples.
parallel assembling parallel sparse solvers domain decomposition methods graph theory metal forming