Sparse supernodal solver with low-rank compression for solving the frequency-domain Maxwell equations discretized by a high order HDG method
Résumé
In this talk, we present the use of PaStiX sparse direct solver in a Schwarz method for solving the frequencydomain
Maxwell equations discretized by a high order HDG method. More precisely, the sparse solver is used
to solve a system on sub-domains while iterative refinement is performed to get the global solution. Recently,
low-rank compression have been added to PaStiX in order to reduce the time-to-solution or the memory footprint
of the solver. The resulting low-rank solver can be used either as a direct solver at a lower accuracy or
as a good preconditionner for iterative methods. We will investigate the use of low-rank compression for the
frequency-domain Maxwell equations on large systems to experiment the compressibility of this equation.
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