Current utilization of cluster "{cluster}"

{#if $initq.fetching || $mainQuery.fetching} {:else if $initq.error} {$initq.error.message} {:else} {/if} { from = new Date(Date.now() - 5 * 60 * 1000) to = new Date(Date.now()) }} /> {#if $mainQuery.error} {$mainQuery.error.message} {/if}
{#if $initq.data && $mainQuery.data} {#each $initq.data.clusters.find(c => c.name == cluster).subClusters as subCluster, i} SubCluster "{subCluster.name}"
Allocated Nodes
({allocatedNodes[subCluster.name]} Nodes / {subCluster.numberOfNodes} Total Nodes)
Flop Rate (Any)
({flopRate[subCluster.name]} {flopRateUnit[subCluster.name]} / {(subCluster.flopRateSimd.value * subCluster.numberOfNodes)} {flopRateUnit[subCluster.name]} [Max])
MemBw Rate
({memBwRate[subCluster.name]} {memBwRateUnit[subCluster.name]} / {(subCluster.memoryBandwidth.value * subCluster.numberOfNodes)} {memBwRateUnit[subCluster.name]} [Max])
{#key $mainQuery.data.nodeMetrics} data.subCluster == subCluster.name))} /> {/key}
{/each}

Top Users

{#key $mainQuery.data} 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'} xlabel="User Name" ylabel="Number of Jobs" /> {/key}
{#each $mainQuery.data.topUsers.sort((a, b) => b.count - a.count) as { name, count }} {/each}
User NameNumber of Nodes
{name} {count}

Top Projects

{#key $mainQuery.data} 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'} xlabel="Project Code" ylabel="Number of Jobs" /> {/key} {#each $mainQuery.data.topProjects.sort((a, b) => b.count - a.count) as { name, count }} {/each}
Project CodeNumber of Nodes
{name} {count}

Duration Distribution

{#key $mainQuery.data.stats} {/key}

Number of Nodes Distribution

{#key $mainQuery.data.stats} {/key} {/if}