Home > Publications database > Parallel adaptive integration in high-performance functional Renormalization Group computations |
Contribution to a conference proceedings/Contribution to a book | FZJ-2016-05691 |
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2016
Springer-Verlag
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Please use a persistent id in citations: http://hdl.handle.net/2128/12643 doi:10.1007/978-3-319-53862-4_15
Abstract: 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.
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