  The conceptual framework provided by the functional Renormalization Group
(fRG) has become a formidable tool to study correlated electron systems on
lattices which, in turn, provided great insights to our understanding of
complex many-body phenomena, such as high- temperature superconductivity or
topological states of matter. In this work we present one of the latest
realizations of fRG which makes use of an adaptive numerical quadrature scheme
specifically tailored to the described fRG scheme. The final result is an
increase in performance thanks to improved parallelism and scalability.
