The Grid also offers GPU computational nodes utilizing NVidia GPU cards. Typically if a job takes more than a few hours to run on a desktop machine, or the desktop machine needs to be available for other tasks, you should consider running the job on the Grid.Ĭomputational nodes within the Grid range from 16 CPU core, 128 Gb RAM systems, to 56 CPU core, 256 Gb RAM systems. SGE accepts jobs, puts them in a waiting queue until they can be run, sends them to a computational node, manages them during the run, and notifies the person when they are finished. People interact with the Bowdoin Computing Grid via the Son of Grid Engine (SGE), which is a software environment that coordinates the resources of multiple computers. Jobs taking several days on a typical desktop machine might finish within hours using the Grid environment, thus freeing up the desktop computer for other tasks while the Grid resources process the job on dedicated computational nodes. The Grid supports a wide range of jobs from simple shell scripts to heavy computational jobs and parallel processes. The Bowdoin Computing Grid is a group of Linux servers which appear as one big, multiprocessor, compute server that can run many computationally intensive jobs concurrently.
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