Taking a quantum leap in time to solution for simulations of high-Tc superconductors

Peter Staar, Thomas A. Maier, Raffaele Solca, Gilles Fourestey, Michael S. Summers, Thomas C. Schulthess

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We present a new quantum cluster algorithm to simulate models of high-Tc superconductors. This algorithm extends current methods with continuous lattice self-energies, thereby removing artificial long-range correlations. This cures the fermionic sign problem in the underlying quantum Monte Carlo solver for large clusters and realistic values of the Coulomb interaction in the entire temperature range of interest. We find that the new algorithm improves time-tosolution by nine orders of magnitude compared to current, state of the art quantum cluster simulations. An efficient implementation is given, which ports to multi-core as well as hybrid CPU-GPU systems. Running on 18,600 nodes on ORNL's Titan supercomputer enables us to compute a converged value of Tc=t = 0:053-0:0014 for a 28 site cluster in the 2D Hubbard model with U=t = 7 at 10% hole doping. Typical simulations on Titan sustain between 9.2 and 15.4 petaops (double precision measured over full run), depending on configuration and parameters used.

Original languageEnglish
Title of host publicationProceedings of SC 2013
Subtitle of host publicationThe International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherIEEE Computer Society
ISBN (Print)9781450323789
DOIs
StatePublished - 2013
Event2013 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2013 - Denver, CO, United States
Duration: Nov 17 2013Nov 22 2013

Publication series

NameInternational Conference for High Performance Computing, Networking, Storage and Analysis, SC
ISSN (Print)2167-4329
ISSN (Electronic)2167-4337

Conference

Conference2013 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2013
Country/TerritoryUnited States
CityDenver, CO
Period11/17/1311/22/13

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