First optical layout Iteration

This commit is contained in:
Christoph Kluge 2022-09-28 16:13:46 +02:00
parent 21b03d02b2
commit 46baa6e534

View File

@ -2,7 +2,7 @@
import Refresher from './joblist/Refresher.svelte' import Refresher from './joblist/Refresher.svelte'
import Roofline, { transformPerNodeData } from './plots/Roofline.svelte' import Roofline, { transformPerNodeData } from './plots/Roofline.svelte'
import Histogram from './plots/Histogram.svelte' import Histogram from './plots/Histogram.svelte'
import { Row, Col, Spinner, Card, Table, Progress } from 'sveltestrap' import { Row, Col, Spinner, Card, CardHeader, CardTitle, CardBody, Table, Progress, Icon } from 'sveltestrap'
import { init } from './utils.js' import { init } from './utils.js'
import { operationStore, query } from '@urql/svelte' import { operationStore, query } from '@urql/svelte'
@ -60,7 +60,12 @@
query(mainQuery) query(mainQuery)
</script> </script>
<!-- Loading indicator & Refresh -->
<Row> <Row>
<Col xs="auto" style="align-self: flex-end;">
<h4 class="mb-0" >Current usage of cluster "{cluster}"</h4>
</Col>
<Col xs="auto"> <Col xs="auto">
{#if $initq.fetching || $mainQuery.fetching} {#if $initq.fetching || $mainQuery.fetching}
<Spinner/> <Spinner/>
@ -89,54 +94,71 @@
</Col> </Col>
</Row> </Row>
{/if} {/if}
<hr>
<!-- Gauges & Roofline per Subcluster-->
{#if $initq.data && $mainQuery.data} {#if $initq.data && $mainQuery.data}
{#each $initq.data.clusters.find(c => c.name == cluster).subClusters as subCluster, i} {#each $initq.data.clusters.find(c => c.name == cluster).subClusters as subCluster, i}
<Row> <Row cols={2} class="mb-3 justify-content-center">
<Col xs="3"> <Col xs="3" class="px-3">
<Table> <Card class="h-auto mt-1">
<tr> <CardHeader>
<th scope="col">SubCluster</th> <CardTitle class="mb-0">SubCluster "{subCluster.name}"</CardTitle>
<td colspan="2">{subCluster.name}</td> </CardHeader>
</tr> <CardBody>
<tr> <Table>
<th scope="col">Allocated Nodes</th> <tr>
<td style="min-width: 75px;"><div class="col"><Progress value={allocatedNodes[subCluster.name]} max={subCluster.numberOfNodes}/></div></td> <th scope="col">Allocated Nodes</th>
<td>({allocatedNodes[subCluster.name]} / {subCluster.numberOfNodes})</td> <td style="min-width: 75px;"><div class="col"><Progress value={allocatedNodes[subCluster.name]} max={subCluster.numberOfNodes}/></div></td>
</tr> <td>({allocatedNodes[subCluster.name]} / {subCluster.numberOfNodes})</td>
<tr> </tr>
<th scope="col">Flop Rate</th> <tr>
<td style="min-width: 75px;"><div class="col"><Progress value={flopRate[subCluster.name]} max={subCluster.flopRateSimd * subCluster.numberOfNodes}/></div></td> <th scope="col">Flop Rate (Any) <Icon name="info-circle" class="p-1" style="cursor: help;" title="Flops[Any] = (Flops[Double] x 2) + Flops[Single]"/></th>
<td>({flopRate[subCluster.name]} / {subCluster.flopRateSimd * subCluster.numberOfNodes})</td> <td style="min-width: 75px;"><div class="col"><Progress value={flopRate[subCluster.name]} max={subCluster.flopRateSimd * subCluster.numberOfNodes}/></div></td>
</tr> <td>({flopRate[subCluster.name]} / {subCluster.flopRateSimd * subCluster.numberOfNodes})</td>
<tr> </tr>
<th scope="col">MemBw Rate</th> <tr>
<td style="min-width: 75px;"><div class="col"><Progress value={memBwRate[subCluster.name]} max={subCluster.memoryBandwidth * subCluster.numberOfNodes}/></div></td> <th scope="col">MemBw Rate</th>
<td>({memBwRate[subCluster.name]} / {subCluster.memoryBandwidth * subCluster.numberOfNodes})</td> <td style="min-width: 75px;"><div class="col"><Progress value={memBwRate[subCluster.name]} max={subCluster.memoryBandwidth * subCluster.numberOfNodes}/></div></td>
</tr> <td>({memBwRate[subCluster.name]} / {subCluster.memoryBandwidth * subCluster.numberOfNodes})</td>
</Table> </tr>
</Table>
</CardBody>
</Card>
</Col>
<Col class="px-3">
<div bind:clientWidth={plotWidths[i]}>
{#key $mainQuery.data.nodeMetrics}
<Roofline
width={plotWidths[i] - 10} height={300} colorDots={false} cluster={subCluster}
data={transformPerNodeData($mainQuery.data.nodeMetrics.filter(data => data.subCluster == subCluster.name))} />
{/key}
</div>
</Col> </Col>
<div class="col-9" bind:clientWidth={plotWidths[i]}>
{#key $mainQuery.data.nodeMetrics}
<Roofline
width={plotWidths[i] - 10} height={300} colorDots={false} cluster={subCluster}
data={transformPerNodeData($mainQuery.data.nodeMetrics.filter(data => data.subCluster == subCluster.name))} />
{/key}
</div>
</Row> </Row>
{/each} {/each}
<Row>
<div class="col-4" bind:clientWidth={colWidth1}> <hr style="margin-top: -1em;">
<h4>Top Users</h4>
{#key $mainQuery.data} <!-- Usage Stats as Histograms -->
<Histogram
width={colWidth1 - 25} height={300} <Row cols={4}>
data={$mainQuery.data.topUsers.sort((a, b) => b.count - a.count).map(({ count }, idx) => ({ count, value: idx }))} <Col class="p-2">
label={(x) => x < $mainQuery.data.topUsers.length ? $mainQuery.data.topUsers[Math.floor(x)].name : '0'} /> <div bind:clientWidth={colWidth1}>
{/key} <h4 class="mb-3 text-center">Top Users</h4>
</div> {#key $mainQuery.data}
<div class="col-2"> <Histogram
width={colWidth1 - 25} height={300}
data={$mainQuery.data.topUsers.sort((a, b) => b.count - a.count).map(({ count }, idx) => ({ count, value: idx }))}
label={(x) => x < $mainQuery.data.topUsers.length ? $mainQuery.data.topUsers[Math.floor(x)].name : '0'} />
{/key}
</div>
</Col>
<Col class="px-4 py-2">
<Table> <Table>
<tr><th>Name</th><th>Number of Nodes</th></tr> <tr class="mb-2"><th>User Name</th><th>Number of Nodes</th></tr>
{#each $mainQuery.data.topUsers.sort((a, b) => b.count - a.count) as { name, count }} {#each $mainQuery.data.topUsers.sort((a, b) => b.count - a.count) as { name, count }}
<tr> <tr>
<th scope="col"><a href="/monitoring/user/{name}">{name}</a></th> <th scope="col"><a href="/monitoring/user/{name}">{name}</a></th>
@ -144,41 +166,43 @@
</tr> </tr>
{/each} {/each}
</Table> </Table>
</div> </Col>
<div class="col-4"> <Col class="p-2">
<h4>Top Projects</h4> <h4 class="mb-3 text-center">Top Projects</h4>
{#key $mainQuery.data} {#key $mainQuery.data}
<Histogram <Histogram
width={colWidth1 - 25} height={300} width={colWidth1 - 25} height={300}
data={$mainQuery.data.topProjects.sort((a, b) => b.count - a.count).map(({ count }, idx) => ({ count, value: idx }))} data={$mainQuery.data.topProjects.sort((a, b) => b.count - a.count).map(({ count }, idx) => ({ count, value: idx }))}
label={(x) => x < $mainQuery.data.topProjects.length ? $mainQuery.data.topProjects[Math.floor(x)].name : '0'} /> label={(x) => x < $mainQuery.data.topProjects.length ? $mainQuery.data.topProjects[Math.floor(x)].name : '0'} />
{/key} {/key}
</div> </Col>
<div class="col-2"> <Col class="px-4 py-2">
<Table> <Table>
<tr><th>Name</th><th>Number of Nodes</th></tr> <tr class="mb-2"><th>Project Code</th><th>Number of Nodes</th></tr>
{#each $mainQuery.data.topProjects.sort((a, b) => b.count - a.count) as { name, count }} {#each $mainQuery.data.topProjects.sort((a, b) => b.count - a.count) as { name, count }}
<tr><th scope="col">{name}</th><td>{count}</td></tr> <tr><th scope="col">{name}</th><td>{count}</td></tr>
{/each} {/each}
</Table> </Table>
</div> </Col>
</Row> </Row>
<Row> <Row cols={2} class="mt-3">
<div class="col" bind:clientWidth={colWidth2}> <Col class="p-2">
<h4>Duration Distribution</h4> <div bind:clientWidth={colWidth2}>
{#key $mainQuery.data.stats} <h4 class="mb-3 text-center">Duration Distribution</h4>
<Histogram {#key $mainQuery.data.stats}
width={colWidth2 - 25} height={300} <Histogram
data={$mainQuery.data.stats[0].histDuration} /> width={colWidth2 - 25} height={300}
{/key} data={$mainQuery.data.stats[0].histDuration} />
</div> {/key}
<div class="col"> </div>
<h4>Number of Nodes Distribution</h4> </Col>
<Col class="p-2">
<h4 class="mb-3 text-center">Number of Nodes Distribution</h4>
{#key $mainQuery.data.stats} {#key $mainQuery.data.stats}
<Histogram <Histogram
width={colWidth2 - 25} height={300} width={colWidth2 - 25} height={300}
data={$mainQuery.data.stats[0].histNumNodes} /> data={$mainQuery.data.stats[0].histNumNodes} />
{/key} {/key}
</div> </Col>
</Row> </Row>
{/if} {/if}