Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/10991
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Type: | Journal article |
Title: | General algorithm for improved lattice actions on parallel computing architectures |
Author: | Bonnet, F. Leinweber, D. Williams, A. |
Citation: | Journal of Computational Physics, 2001; 170(1):1-17 |
Publisher: | Academic Press Inc |
Issue Date: | 2001 |
ISSN: | 0021-9991 |
Organisation: | Special Research Centre for the Subatomic Structure of Matter |
Statement of Responsibility: | Frédéric D. R. Bonnet, Derek B. Leinweber and Anthony G. Williams |
Abstract: | Quantum field theories underlie all of our understanding of the fundamental forces of nature. There are relatively few first-principles approaches to the study of quantum field theories (such as quantum chromodynamics [QCD] relevant to the strong interaction) apart from the perturbative (i.e., weak-coupling) regime. Currently, the most commonly used method is the Monte Carlo method on a hypercubic space–time lattice. These methods consume enormous computing power for large lattices, and it is essential that increasingly efficient algorithms be developed to perform standard tasks in these lattice calculations. Here we present a general algorithm for QCD that allows one to put any planar improved gluonic lattice action onto a parallel computing architecture. High performance masks for specific actions (including nonplanar actions) are also presented. These algorithms have been successfully employed by us in a variety of lattice QCD calculations using improved lattice actions on a 128 node Thinking Machines CM-5. |
Description: | Copyright © 2001 Academic Press. All rights reserved. Copyright © 2001. Submitted to Cornell University’s online archive www.arXiv.org in 2001 by Dr. Anthony G. Williams. Post-print sourced from www.arxiv.org. |
DOI: | 10.1006/jcph.2001.6699 |
Published version: | http://dx.doi.org/10.1006/jcph.2001.6699 |
Appears in Collections: | Aurora harvest 2 Special Research Centre for the Subatomic Structure of Matter publications |
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hdl_10991.pdf | Accepted version | 231.87 kB | Unknown | View/Open |
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