2019
DOI: 10.1051/epjconf/201921403059
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Advances and enhancements in the FabrIc for Frontier Experiments project at Fermilab

Abstract: The FabrIc for Frontier Experiments (FIFE) project within the Fermilab Scientific Computing Division is charged with integrating offline computing components into a common computing stack for the non-LHC Fermilab experiments, supporting experiment offline computing, and consulting on new, novel workflows. We will discuss the general FIFE onboarding strategy, the upgrades and enhancements in the FIFE toolset, and plans for the coming year. These enhancements include: expansion of opportunistic computing resourc… Show more

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Cited by 1 publication
(2 citation statements)
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“…Production jobs use Fermilab's Production Operations Management System (POMS) [2,3] for submission. POMS provides both GUI and command-line options for job launches (both immediate and scheduled), recovery project setup, and provides integrated monitoring with Fermilab's Landscape project.…”
Section: Current Job Submission Infrastructurementioning
confidence: 99%
See 1 more Smart Citation
“…Production jobs use Fermilab's Production Operations Management System (POMS) [2,3] for submission. POMS provides both GUI and command-line options for job launches (both immediate and scheduled), recovery project setup, and provides integrated monitoring with Fermilab's Landscape project.…”
Section: Current Job Submission Infrastructurementioning
confidence: 99%
“…Choosing a Glidein-based system at this stage of the experiment had several advantages. DUNE was able to quickly leverage the existing FIFE [2] toolset, including POMS and Jobsub, negating the need for significant effort from the experiment in getting jobs running quickly (let alone in designing a completely new system). Since the system is in use by other neutrino experiments at Fermilab, it is easy for new DUNE collaboration members coming from these experiments to begin submitting jobs quickly as they are working with a familiar system.…”
Section: Current Job Submission Infrastructurementioning
confidence: 99%