Parallel adaptive integration in high-performance functional Renormalization Group computations
Julian Lichtenstein (1), Jan Winkelmann (1), David S\'anchez de la, Pe\~na (1), Toni Vidovi\'c (2), Edoardo Di Napoli (3, 4) ((1) RWTH Aachen, University, (2) University of Zagreb, (3) JARA-HPC, (4) Forschungszentrum, J\"ulich)
TL;DR
This paper introduces a parallel adaptive integration method for functional Renormalization Group computations, significantly enhancing performance and scalability in studying complex many-body electron systems.
Contribution
It presents a novel adaptive numerical quadrature scheme integrated into fRG, improving parallelism and computational efficiency for high-performance many-body physics simulations.
Findings
Enhanced computational performance and scalability.
Successful application to correlated electron systems.
Improved parallelism in fRG calculations.
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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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Advanced Chemical Physics Studies · Advanced Condensed Matter Physics