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HPC Monitoring with SLUM, Prometheus and GrafanaBachelor ThesisUniversity of Basel Faculty of Science Department of Mathematics and Computer Science HPC Research GroupExaminer: Prof. Dr. Florida CORBA Supervisor:

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What is hpc job-monitoring with slurm?

HPC job-monitoring with SLURM refers to the process of tracking and managing high-performance computing (HPC) jobs that are submitted to a SLURM workload manager. It involves monitoring job status, resource usage, and performance metrics.

Who is required to file hpc job-monitoring with slurm?

Anyone who submits jobs to an HPC system managed by SLURM is required to file HPC job-monitoring reports. This typically includes researchers, developers, and system administrators.

How to fill out hpc job-monitoring with slurm?

To fill out HPC job-monitoring with SLURM, users should gather their job information, including job IDs, resource allocations, and run times, and then submit this information through the appropriate reporting tools or forms as specified by the HPC center or organization.

What is the purpose of hpc job-monitoring with slurm?

The purpose of HPC job-monitoring with SLURM is to ensure efficient use of computational resources, track job performance and resource utilization, and facilitate resource allocation for future jobs.

What information must be reported on hpc job-monitoring with slurm?

Information that must be reported includes job identification numbers, user details, resource usage (CPU, memory), execution time, and any errors or issues encountered during job execution.

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