Adapting LIGO workflows to run in the Open Science Grid

TL;DR

This paper discusses how the LIGO collaboration adapted its computational workflows to efficiently utilize the Open Science Grid's heterogeneous resources, enabling seamless and coordinated processing during observation runs.

Contribution

It introduces methods for adapting LIGO workflows to operate across diverse opportunistic computing resources in the Open Science Grid.

Findings

Successful offloading of LIGO workflows to OSG during observation runs

Enhanced resource utilization and workflow coordination across heterogeneous systems

Demonstrated seamless integration of LIGO workflows with OSG infrastructure

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.