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 resources (including GPU and high-performance computing resources) available to experiments; assistance with commissioning computing resources at European sites for individual experiments; StashCache repositories for experiments; enhanced job monitoring tools; and a custom workflow management service. Additionally we have completed the first phase of a Federated Identity Management system to make it easier for FIFE users to access Fermilab computing resources.
Highlights
Fermilab has become the world’s foremost laboratory for research in neutrino and precision muon physics and it plays critical roles in experiments studying all physics drivers in high-energy physics today
Adding opportunistic Open Science Grid (OSG) computing resources can provide a severalfold increase over what might be available to a given experiment on FermiGrid alone
The FIFE job submission infrastructure currently allows experiments to run on allocationbased High Performance Computing (HPC) resources
Summary
Fermilab has become the world’s foremost laboratory for research in neutrino and precision muon physics and it plays critical roles in experiments studying all physics drivers in high-energy physics today. The current and future precision muon and neutrino experiments require large amounts of computing resources, some similar in scale to LHC collider experiments, but the majority of them have one to two orders of magnitude fewer collaborators than LHC experiments They may may lack available effort to design a completely new analysis framework, job submission system, or batch cluster. The common, modular approach the FIFE project has chosen saves countless hours of otherwise duplicated experiment effort, makes it easy to work on multiple experiments simultaneously from a computing perspective, and reduces the overall support burden on laboratory computing personnel It will be easier for physicists to transition to the DUNE experiment in the future
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