Parallel adaptive integration in high-performance functional Renormalization Group computations
Computational Engineering, Finance, and Science
2016-11-02 v1 Strongly Correlated Electrons
Computational Physics
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.
Cite
@article{arxiv.1610.09991,
title = {Parallel adaptive integration in high-performance functional Renormalization Group computations},
author = {Julian Lichtenstein and Jan Winkelmann and David Sánchez de la Peña and Toni Vidović and Edoardo Di Napoli},
journal= {arXiv preprint arXiv:1610.09991},
year = {2016}
}
Comments
14 pages, 4 figures, accepted for publication in the proceedings of the JHPCS'16