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fix: analysis metric histogram normalized by scope

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- native acc metrics normalized by accHours
- native core metrics normalized by coreHours
This commit is contained in:
Christoph Kluge
2023-08-24 11:52:36 +02:00
parent 2f35482aff
commit 6a1e35107f
7 changed files with 336 additions and 50 deletions
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18
web/frontend/src/Analysis.root.svelte
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@@ -78,7 +78,7 @@
query: gql`
query($jobFilters: [JobFilter!]!, $metrics: [String!]!) {
footprints: jobsFootprints(filter: $jobFilters, metrics: $metrics) {
timeweights,
timeWeights { nodeHours, accHours, coreHours },
metrics { metric, data }
}
}`,
@@ -244,8 +244,9 @@
<Row>
<Col>
<Card body>
These histograms show the distribution of the averages of all jobs matching the filters. Each job/average is weighted by its node hours.
Note that some metrics could be disabled for specific subclusters as per metriConfig and thus could affect shown average values.
These histograms show the distribution of the averages of all jobs matching the filters. Each job/average is weighted by its node hours by default
(Accelerator hours for native accelerator scope metrics, coreHours for native core scope metrics).
Note that some metrics could be disabled for specific subclusters as per metricConfig and thus could affect shown average values.
</Card>
<br/>
</Col>
@@ -257,7 +258,8 @@
let:width
renderFor="analysis"
items={metricsInHistograms.map(metric => ({ metric, ...binsFromFootprint(
$footprintsQuery.data.footprints.timeweights,
$footprintsQuery.data.footprints.timeWeights,
metricConfig(cluster.name, metric)?.scope,
$footprintsQuery.data.footprints.metrics.find(f => f.metric == metric).data, numBins) }))}
itemsPerRow={ccconfig.plot_view_plotsPerRow}>
@@ -265,11 +267,11 @@
data={convert2uplot(item.bins)}
width={width} height={250}
title="Average Distribution of '{item.metric}'"
xlabel={`${item.metric} average [${(metricConfig(cluster.name, item.metric)?.unit?.prefix ? metricConfig(cluster.name, item.metric)?.unit?.prefix : '') +
xlabel={`${item.metric} bin maximum [${(metricConfig(cluster.name, item.metric)?.unit?.prefix ? metricConfig(cluster.name, item.metric)?.unit?.prefix : '') +
(metricConfig(cluster.name, item.metric)?.unit?.base ? metricConfig(cluster.name, item.metric)?.unit?.base : '')}]`}
xunit={`${(metricConfig(cluster.name, item.metric)?.unit?.prefix ? metricConfig(cluster.name, item.metric)?.unit?.prefix : '') +
(metricConfig(cluster.name, item.metric)?.unit?.base ? metricConfig(cluster.name, item.metric)?.unit?.base : '')}`}
ylabel="Node Hours"
ylabel="Normalized Hours"
yunit="Hours"/>
</PlotTable>
</Col>
@@ -279,7 +281,7 @@
<Col>
<Card body>
Each circle represents one job. The size of a circle is proportional to its node hours. Darker circles mean multiple jobs have the same averages for the respective metrics.
Note that some metrics could be disabled for specific subclusters as per metriConfig and thus could affect shown average values.
Note that some metrics could be disabled for specific subclusters as per metricConfig and thus could affect shown average values.
</Card>
<br/>
</Col>
@@ -301,7 +303,7 @@
(metricConfig(cluster.name, item.m1)?.unit?.base ? metricConfig(cluster.name, item.m1)?.unit?.base : '')}]`}
yLabel={`${item.m2} [${(metricConfig(cluster.name, item.m2)?.unit?.prefix ? metricConfig(cluster.name, item.m2)?.unit?.prefix : '') +
(metricConfig(cluster.name, item.m2)?.unit?.base ? metricConfig(cluster.name, item.m2)?.unit?.base : '')}]`}
X={item.f1} Y={item.f2} S={$footprintsQuery.data.footprints.timeweights} />
X={item.f1} Y={item.f2} S={$footprintsQuery.data.footprints.timeWeights.nodeHours} />
</PlotTable>
</Col>
</Row>