Adapting LIGO workflows to run in the Open Science Grid

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

SoftwareX (Jun 2021)

Adapting LIGO workflows to run in the Open Science Grid

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

Affiliations

Edgar Fajardo: University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA; Corresponding author.
Frank Wuerthwein: University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
Brian Bockelman: Mortgridge Institute, 330 N Orchard St, Madison, WI 53715, USA
Miron Livny: Mortgridge Institute, 330 N Orchard St, Madison, WI 53715, USA
Greg Thain: University of Madison Wisconsin, USA
James Alexander Clark: School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
Peter Couvares: LIGO, California Institute of Technology, Pasadena, CA 91125, USA
Josh Willis: LIGO, California Institute of Technology, Pasadena, CA 91125, USA

Journal volume & issue: Vol. 14
p. 100679

Abstract

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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.

Published in SoftwareX

ISSN: 2352-7110 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: http://www.journals.elsevier.com/softwarex/

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