The apply_changes command only exists in CycleCloud 8.3+, so the only
Python slurm update#
After making any changes to the cluster, run the following as root (e.g., by running sudo -i) on the Slurm scheduler node to rebuild the nf and update the nodes in the cluster: The Slurm cluster deployed in CycleCloud contains a script that facilitates this. Because of this, you need to run a command on the Slurm scheduler node after making any changes to the cluster, such as autoscale limits or VM types. To facilitate this functionality in Slurm, CycleCloud pre-populates the execute nodes in the cluster. Slurm clusters running in CycleCloud versions 7.8 and later implement an updated version of the autoscaling APIs that allows the clusters to utilize multiple nodearrays and partitions. For example, a simple cluster template snippet may look like: The two basic components of a Slurm cluster are the 'scheduler' node which provides a shared filesystem on which the Slurm software runs, and the 'execute' nodes which are the hosts that mount the shared filesystem and execute the jobs submitted. Slurm can easily be enabled on a CycleCloud cluster by modifying the "run_list" in the configuration section of your cluster definition. # Set to true if nodes are used for tightly-coupled multi-node jobs The two basic components of a Slurm cluster are the 'master' (or 'scheduler') node which provides a shared filesystem on which the Slurm software runs, and the 'execute' nodes which are the hosts that mount the shared filesystem and execute the jobs submitted.
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