Abstract
We report a brief performance study of the replica-exchange Wang-Landau algorithm, a recently proposed parallel realization of Wang-Landau sampling, using the 2D Ising model as a test case. The simulation time is found to scale inversely with the square root of the number of subwindows (and thus number of processors) used to span the global parameter space. We also investigate the "time profiles" for random walkers in different subwindows to complete iterations, which will aid the development of an adaptive load-balancing scheme.
Original language | English |
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Pages (from-to) | 43-47 |
Number of pages | 5 |
Journal | Physics Procedia |
Volume | 57 |
Issue number | C |
DOIs | |
State | Published - 2014 |
Event | Workshop on Computer Simulation Studies in Condensed Matter Physics, CSP 2014 - Athens, United States Duration: Feb 24 2014 → Feb 28 2014 |
Funding
Y. Zhao and S. W. Cheung were partly supported by the Joint Institute for Computational Sciences through the CSURE REU program under NSF Grant number 1262937. Y. W. Li and M. E. were sponsored by the Office of Advanced Scientific Computing Research; U.S. Department of Energy. Part of the work was performed at the Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC under Contract No. De-AC05-00OR22725. Computing resource was supported by the National Science Foundation under Grant numbers 0711134, 0933959, 1041709, and 1041710 and the University of Tennessee through the use of Kraken at the National Institute for Computational Sciences.
Keywords
- Ising model
- Monte carlo
- Performance
- Replica exchange
- Wang-landau sampling