NDLI: New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T superconductors

Content Provider	IEEE Xplore Digital Library
Author	Alvarez, G. Summers, M.S. Maxwell, D.E. Eisenbach, M. Meredith, J.S. Larkin, J.M. Levesque, J. Maier, T.A. Kent, P. D'Azevedo, E.F. Schulthess, T.C.
Copyright Year	2008
Description	Author affiliation: Oak Ridge Nat. Laboraotry, Oak Ridge, TN, USA (Alvarez, G.; Summers, M.S.; Maxwell, D.E.; Eisenbach, M.; Meredith, J.S.; Maier, T.A.; Kent, P.; D'Azevedo, E.F.; Schulthess, T.C.)
Abstract	Staggering computational and algorithmic advances in recent years now make possible systematic Quantum Monte Carlo (QMC) simulations of high temperature (high-Tc) superconductivity in a microscopic model, the two dimensional (2D) Hubbard model, with parameters relevant to the cuprate materials. Here we report the algorithmic and computational advances that enable us to study the effect of disorder and nano-scale inhomogeneities on the pair-formation and the superconducting transition temperature necessary to understand real materials. The simulation code is written with a generic and extensible approach and is tuned to perform well at scale. Significant algorithmic improvements have been made to make effective use of current supercomputing architectures. By implementing delayed Monte Carlo updates and a mixed single-/double precision mode, we are able to dramatically increase the efficiency of the code. On the Cray XT4 systems of the Oak Ridge National Laboratory (ORNL), for example, we currently run production jobs on 31 thousand processors and thereby routinely achieve a sustained performance that exceeds 200 TFlop/s. On a system with 49 thousand processors we achieved a sustained performance of 409 TFlop/s. We present a study of how random disorder in the effective Coulomb interaction strength affects the superconducting transition temperature in the Hubbard model.
Starting Page	1
Ending Page	10
File Size	863447
Page Count	10
File Format	PDF
ISBN	9781424428342
DOI	10.1109/SC.2008.5218119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Quantum computing Monte Carlo methods Superconducting materials Superconducting transition temperature Superconductivity Microscopy Delay Laboratories Job production systems
Content Type	Text
Resource Type	Article

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