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Paper: Adding Workflow Management Flexibility to LSST Pipelines Execution
Volume: 538, ADASS XXXII
Page: 325
Authors: Michelle Gower; Mikolaj Kowalik; Nate Lust; James Bosch; Tim Jenness
DOI: 10.26624/SKGZ6035
Abstract: Data processing pipelines need to be executed at scales ranging from small runs up through large production data release runs resulting in millions of data products. As part of the Rubin Observatory’s pipeline execution system, BPS is the abstraction layer that provides an interface to different Workflow Management Systems (WMS) such as HTCondor and PanDA. During the submission process, the pipeline execution system interacts with the Data Butler to produce a science-oriented execution graph from algorithmic tasks. BPS converts this execution graph to a workflow graph and then uses a WMS-specific plugin to submit and manage the workflow. Here we will discuss the architectural design of this interface and report briefly on the recent production of the Data Preview 0.2 release and how the system is used by pipeline developers.
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