TY  - CONF
AU  - Lichtenstein, Julian
AU  - Winkelmann, Jan
AU  - de la Peña, David Sánchez
AU  - Vidović, Toni
AU  - Di Napoli, Edoardo
TI  - Parallel adaptive integration in high-performance functional Renormalization Group computations
VL  - 10164
PB  - Springer-Verlag
M1  - FZJ-2016-05691
T2  - Lecture Notes in Computer Science
SP  - 170-184
PY  - 2016
N1  - 14 pages, 4 figures
AB  - 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.
T2  - JARA High-Performance Computing Symposium
CY  - 4 Oct 2016 - 5 Oct 2016, Aachen (Germany)
Y2  - 4 Oct 2016 - 5 Oct 2016
M2  - Aachen, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-319-53862-4_15
UR  - https://juser.fz-juelich.de/record/820360
ER  -