Section: New Results

Introduction of shared memory parallelism in a distributed-memory sparse multifrontal solver

We study the adaptation of a parallel distributed-memory solver, MUMPS, into a shared-memory code, targetting multicore architectures. An advantage of adapting the code rather than starting with a new design is to fully benefit from its numerical kernels and functionalities. We show how one can take advantage of OpenMP directives and of existing libraries optimized for shared-memory environments, in our case BLAS libraries [48] . We have also started to study approaches that take advantage of the specificities of NUMA architectures.