View information about jobs in scheduling queue. For detailed documentation, see the Slurm documentation. We have some common Slurm commands that you can use to operate the Slurm cluster daily. You also don’t have to worry about cleaning up these resources and being charged past their useful period. Now, you can apply a lot of compute power to a problem with minimal overhead. It monitors the Slurm queues, adding more Compute nodes when jobs are pending and removing nodes when jobs are complete. On OCI, you can achieve this on your Slurm cluster deployed using the Oracle Cloud Marketplace. This dynamic adjustment of the cluster’s size, known as autoscaling, ensures optimal performance. This capability allows for faster job completion and significant cost savings. One major benefit in deploying your workloads on a cloud-based cluster is the effortless ability to adjust the cluster’s size according to your needs. Key features of Slurm include scalability to tens of thousands of GPUs and millions of cores, robust security, heterogenous configuration supporting GPU utilization, topology-aware job scheduling for optimal system utilization, and advanced scheduling options, such as reservations, backfill, suspend and resume, fair-share, and preemptive scheduling for critical tasks. GRES plugins cater to different GPU types. It facilitates GPU usage through generic resources (GRES), associated with Slurm nodes and utilized in job processing. You can enhance Slurm using plugins to expand its capabilities. From Slurm’s official website, Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. Oracle Cloud Infrastructure (OCI) offers automated cluster deployment, which includes a Slurm scheduler ready to accept jobs.
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