| Issue |
EPJ Web Conf.
Volume 175, 2018
35th International Symposium on Lattice Field Theory (Lattice 2017)
|
|
|---|---|---|
| Article Number | 09009 | |
| Number of page(s) | 7 | |
| Section | 9 Software Development | |
| DOI | https://doi.org/10.1051/epjconf/201817509009 | |
| Published online | 26 March 2018 | |
https://doi.org/10.1051/epjconf/201817509009
Automated lattice data generation
1
Department of Physics, University of Colorado, Boulder, Colorado 80309, USA
2
RIKEN-BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973, USA
3
Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, 69978 Tel Aviv, Israel
* Speaker, e-mail: daniel.hackett@colorado.edu
Published online: 26 March 2018
The process of generating ensembles of gauge configurations (and measuring various observables over them) can be tedious and error-prone when done “by hand”. In practice, most of this procedure can be automated with the use of a workflow manager. We discuss how this automation can be accomplished using Taxi, a minimal Python-based workflow manager built for generating lattice data. We present a case study demonstrating this technology.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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