Adapting LIGO workflows to run in the Open Science Grid

Creators: Fajardo, Edgar; Wuerthwein, Frank; Bockelman, Brian; Livny, Miron; Thain, Greg; Clark, James Alexander; Couvares, Peter; Willis, Josh

Abstract

During the first observation run the LIGO collaboration needed to offload some of its most, intense CPU workflows from its dedicated computing sites to opportunistic resources. Open Science Grid enabled LIGO to run PyCbC, RIFT and Bayeswave workflows to seamlessly run in a combination of owned and opportunistic resources. One of the challenges is enabling the workflows to use several heterogeneous resources in a coordinated and effective way.

Additional Information

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Received 30 March 2020, Revised 7 December 2020, Accepted 9 February 2021, Available online 24 February 2021. The authors would like to thank the funding agencies for this work, in particular the National Science Foundation, USA through the following grants: OAC-1541349, OAC-1826967, OAC-1841530, MPS-1148698. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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