| Total Jobs |
{$statsQuery.data.stats[0].totalJobs} |
| Short Jobs (< 2m) |
{$statsQuery.data.stats[0].shortJobs} |
| Total Walltime |
{$statsQuery.data.stats[0].totalWalltime} |
| Total Core Hours |
{$statsQuery.data.stats[0].totalCoreHours} |
{#key $statsQuery.data.topUsers}
Top Users (by node hours)
b.count - a.count).map(({ count }, idx) => ({ count, value: idx }))}
label={(x) => x < $statsQuery.data.topUsers.length ? $statsQuery.data.topUsers[Math.floor(x)].name : 'No Users'}
ylabel="Node Hours [h]"/>
{/key}
{#key $statsQuery.data.stats[0].histDuration}
Duration Distribution
{/key}
{#key $statsQuery.data.stats[0].histNumNodes}
Number of Nodes Distribution
{/key}
{#if $rooflineQuery.fetching}
{:else if $rooflineQuery.error}
{$rooflineQuery.error.message}
{:else if $rooflineQuery.data && cluster}
{#key $rooflineQuery.data}
{/key}
{/if}
{/if}