The analysis view is always called in respect to one specified cluster. It collects and renders data based on the jobs returned by the active filters, which can be specified to a high detail, allowing analysis of specific aspects.
The general information section of the analysis view is always rendered and consists of the following elements
Total counts of collected data based on the returned jobs matching the requested filters:
- Total Jobs
- Total Short Jobs (By default defined as jobs shorter than 5 minutes)
- Total Walltime
- Total Node Hours
- Total Core Hours
- Total Accelerator Hours
Top Users and Projects
The ten most active users or projects are rendered in a combination of pie chart and tabular legend with values displayed. By default, the top ten users with the most jobs matching the selected filters will be shown.
Hovering over one of the pie chart fractions will display a legend featuring the identifier and value of the selected parameter.
The selection can be changed directly in the headers of the pie chart and the table, and can be changed to
Walltime, Node Hours, Core Hours, Accelerator Hours
The selection is saved for each user and cluster, and will select the last chosen types of list as default the next time this view is opened.
A roofline plot representing the utilization of available resources as the relation between computation and memory for all jobs matching the filters. In order to represent the data in a meaningful way, the time information of the raw data is abstracted and represented as a heat map, with increasingly red sections of the roofline plot being the most populated regions of utilization.
Two histograms depicting the duration and number of allocated cores distributions for the returned jobs matching the filters.
Selectable Data Representations
The second half of the analysis view consists of areas reserved for rendering user-selected data representations.
- Select Plots for Histograms: Opens a selector listing all configured metrics of the respective cluster. One or more metrics can be selected, and the data returned will be rendered as average distributions normalized by node hours (core hours, accelerator hours; depending on the metric).
- Select Plots in Scatter Plots: Opens a selector which allows selection of user chosen combinations of configured metrics for the respective cluster. Selected duplets will be rendered as scatter bubble plots for each selected pair of metrics.
Average Distribution Histograms
These histograms show the distribution of the normalized averages of all jobs matching the filters, split into 50 bins for high detail.
Normalization is achieved by weighting the selected metric data job averages by node hours (default), or by either accelerator hours (for native accelerator scope metrics) or core hours (for native core scope metrics).
User Defined Scatterplots
Bubble scatter plots show the position of the averages of two selected metrics in relation to each other.
Each circle represents one job, while the size of a circle is proportional to its node hours. Darker circles mean multiple jobs have the same averages for the respective metric selection.
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