SLURM is a resource manager that allocates resources for parallel jobs, maintains a work queue, and manages job initiation in clusters of any size.
The automated behavior of SLURM allows it to initiate new jobs as soon as the resources are available, without causing any interruption to the running jobs. SLURM not only initiates and manages jobs, but also keeps a record of their progress, statistics, and other important metadata. It provides a powerful web-based interface for monitoring and managing the resources, jobs, and the overall status of the cluster.
With SLURM, the cluster administrators can ensure optimum utilization of resources, by setting up different policies, priorities, constraints, and limits for different jobs, users, queues, nodes, partitions, and other parameters. The users can easily submit their jobs, monitor their progress, and receive notifications through a variety of interfaces, such as command-line, web, email, and mobile apps.
Overall, SLURM is an indispensable tool for scientific computing, high-performance computing, big data analytics, and other complex computing tasks that require efficient allocation and management of resources in a shared cluster environment. It is highly scalable, reliable, flexible, customizable, and open-source, making it a popular choice among research communities, academic institutions, enterprises, and government agencies around the world.
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