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The tremendous challenge of comparing our theoretical models with thegravitational-wave observations in the new era of multimessenger astronomyrequires accurate and fast numerical simulations of complicated physicalsystems described by the Einstein and the matter equations. These requirementscan only be satisfied if the simulations can be parallelized efficiently on alarge number of processors and advanced computational strategies are adopted.To achieve this goal we have developed Simflowny, an open platform forscientific dynamical models which automatically generates parallel code fordifferent simulation frameworks, allowing the use of HPC infrastructures tonon-specialist scientists. One of these frameworks is SAMRAI, a maturepatch-based structured adaptive mesh refinement infrastructure, capable ofreaching exascale in some specific problems. Here we present the numericaltechniques that we have implemented on this framework by using Simflowny inorder to perform fast, efficient, accurate and highly-scalable simulations.These techniques involve high-order schemes for smooth and non-smoothsolutions, Adaptive Mesh Refinement with arbitrary resolution ratios and anoptimal strategy for the sub-cycling in time. We validate the automaticallygenerated codes for the SAMRAI infrastructure with some simple test examples(i.e., wave equation and Newtonian MHD) and finally with the Einsteinequations.

A Simflowny-based finite-difference code for high-performance computing in Relativity