CaltechAUTHORS
Published June 2021 | Version Published
Journal Article Open

Adapting LIGO workflows to run in the Open Science Grid

Creators

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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Additional details

Identifiers

Eprint ID
108178
Resolver ID
CaltechAUTHORS:20210224-142858393

Funding

NSF
OAC-1541349
NSF
OAC-1826967
NSF
OAC-1841530
NSF
MPS-1148698

Dates

Created
2021-02-24
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
LIGO