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.
Cite
@article{arxiv.1802.00851,
title = {Automated lattice data generation},
author = {Venkitesh Ayyar and Daniel C. Hackett and William I. Jay and Ethan T. Neil},
journal= {arXiv preprint arXiv:1802.00851},
year = {2018}
}
Comments
7 pages, 1 figure. Presented at Lattice 2017, the 35th International Symposium on Lattice Field Theory, Granada, Spain, 18-24 June 2017