SIMULATING SPIN MODELS ON GPU: A TOUR

Martin Weigel ()
Additional contact information
Martin Weigel: Institut für Physik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany;

International Journal of Modern Physics C (IJMPC), 2012, vol. 23, issue 08, 1-11

Abstract: The use of graphics processing units (GPUs) in scientific computing has gathered considerable momentum in the past five years. While GPUs in general promise high performance and excellent performance per Watt ratios, not every class of problems is equally well suitable for exploiting the massively parallel architecture they provide. Lattice spin models appear to be prototypic examples of problems suitable for this architecture, at least as long as local update algorithms are employed. In this review, I summarize our recent experience with the simulation of a wide range of spin models on GPU employing an equally wide range of update algorithms, ranging from Metropolis and heat bath updates, over cluster algorithms to generalized ensemble simulations.

Keywords: Spin models; Monte Carlo simulations; GPU computing; cluster algorithms; generalized-ensemble simulations; 75.50.Lk; 64.60.Fr (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183112400025
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:23:y:2012:i:08:n:s0129183112400025

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183112400025

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().