The scientific computing environment for experimental physics is comprised of a data analysis facility and its accompanying mass storage system. Details on the hardware are in the Scientific Computing Resources book.
The data analysis environment includes the batch "farm" (a compute cluster) plus its associated interactive nodes and disk storage systems. Multiple files systems are accessible from both the interactive and batch nodes, and some of these are also accessible from desktops onsite.
Batch farm is using Slurm workload Manager, an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters, to manage our farm cluster. Please check out Jefferson Lab Slurm Guide documents to start submitting jobs.
SWIF2 is a software system developed at Jefferson Lab that aims to help users schedule, run, and track computation jobs on batch systems both locally and at remote sites. For those who seek a simple way to handle large data analysis workflow without worrying about staging files from the tape library, we recommand to use SWIF2.