Difference between revisions of "Performance Monitoring"
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Monitoring the performance on a cluster-level gives the operator insight into the stable operation, utilization and possible defects of the cluster. | Monitoring the performance on a cluster-level gives the operator insight into the stable operation, utilization and possible defects of the cluster. | ||
If the monitored data is available to the user, it can give insights into [[Job efficiency]]. | If the monitored data is available to the user, it can give insights into [[Job efficiency]]. | ||
| − | The available metrics are a trade-off between usefulness and interference with job execution. | + | The available [[Performance metrics]] are a trade-off between usefulness and interference with job execution. |
Take a look at the [[Site-specific documentation]] to figure out if performance monitoring is available at your cluster. | Take a look at the [[Site-specific documentation]] to figure out if performance monitoring is available at your cluster. | ||
Revision as of 14:26, 16 September 2024
Performance monitoring can be done in the form of Performance profiling by the user or developer of an application or as a background service by the operator of an HPC cluster.
Monitoring the performance on a cluster-level gives the operator insight into the stable operation, utilization and possible defects of the cluster.
If the monitored data is available to the user, it can give insights into Job efficiency.
The available Performance metrics are a trade-off between usefulness and interference with job execution.
Take a look at the Site-specific documentation to figure out if performance monitoring is available at your cluster.
The following list shows some performance monitoring solutions: