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	Introduce units.js, centralizes value normalizing
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		| @@ -4,6 +4,7 @@ | ||||
|     import Histogram from './plots/Histogram.svelte' | ||||
|     import { Row, Col, Spinner, Card, CardHeader, CardTitle, CardBody, Table, Progress, Icon } from 'sveltestrap' | ||||
|     import { init } from './utils.js' | ||||
|     import { scaleNumbers } from './units.js' | ||||
|     import { queryStore, gql, getContextClient  } from '@urql/svelte' | ||||
|  | ||||
|     const { query: initq } = init() | ||||
| @@ -50,15 +51,17 @@ | ||||
|         ? sum + (node.metrics.find(m => m.name == metric)?.metric.series.reduce((sum, series) => sum + series.data[series.data.length - 1], 0) || 0) | ||||
|         : sum, 0) | ||||
|  | ||||
|     let allocatedNodes = {}, flopRate = {}, flopRateUnit = {}, memBwRate = {}, memBwRateUnit = {} | ||||
|     let allocatedNodes = {}, flopRate = {}, flopRateUnitPrefix = {}, flopRateUnitBase = {}, memBwRate = {}, memBwRateUnitPrefix = {}, memBwRateUnitBase = {} | ||||
|     $: if ($initq.data && $mainQuery.data) { | ||||
|         let subClusters = $initq.data.clusters.find(c => c.name == cluster).subClusters | ||||
|         for (let subCluster of subClusters) { | ||||
|             allocatedNodes[subCluster.name] = $mainQuery.data.allocatedNodes.find(({ name }) => name == subCluster.name)?.count || 0 | ||||
|             flopRate[subCluster.name] = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'flops_any') * 100) / 100 | ||||
|             flopRateUnit[subCluster.name] = subCluster.flopRateSimd.unit.prefix + subCluster.flopRateSimd.unit.base | ||||
|             memBwRate[subCluster.name] = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'mem_bw') * 100) / 100 | ||||
|             memBwRateUnit[subCluster.name] = subCluster.memoryBandwidth.unit.prefix + subCluster.memoryBandwidth.unit.base | ||||
|             allocatedNodes[subCluster.name]     = $mainQuery.data.allocatedNodes.find(({ name }) => name == subCluster.name)?.count || 0 | ||||
|             flopRate[subCluster.name]           = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'flops_any') * 100) / 100 | ||||
|             flopRateUnitPrefix[subCluster.name] = subCluster.flopRateSimd.unit.prefix | ||||
|             flopRateUnitBase[subCluster.name]   = subCluster.flopRateSimd.unit.base | ||||
|             memBwRate[subCluster.name]          = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'mem_bw') * 100) / 100 | ||||
|             memBwRateUnitPrefix[subCluster.name] = subCluster.memoryBandwidth.unit.prefix | ||||
|             memBwRateUnitBase[subCluster.name]  = subCluster.memoryBandwidth.unit.base | ||||
|         } | ||||
|     } | ||||
|  | ||||
| @@ -116,12 +119,22 @@ | ||||
|                             <tr class="py-2"> | ||||
|                                 <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 style="min-width: 100px;"><div class="col"><Progress value={flopRate[subCluster.name]} max={subCluster.flopRateSimd.value * subCluster.numberOfNodes}/></div></td> | ||||
|                                 <td>({flopRate[subCluster.name]} {flopRateUnit[subCluster.name]} / {(subCluster.flopRateSimd.value * subCluster.numberOfNodes)} {flopRateUnit[subCluster.name]} [Max])</td> | ||||
|                                 <td> | ||||
|                                     {scaleNumbers(flopRate[subCluster.name],  | ||||
|                                                   (subCluster.flopRateSimd.value * subCluster.numberOfNodes), | ||||
|                                                   flopRateUnitPrefix[subCluster.name]) | ||||
|                                     }{flopRateUnitBase[subCluster.name]} [Max] | ||||
|                                 </td> | ||||
|                             </tr> | ||||
|                             <tr class="py-2"> | ||||
|                                 <th scope="col">MemBw Rate</th> | ||||
|                                 <td style="min-width: 100px;"><div class="col"><Progress value={memBwRate[subCluster.name]} max={subCluster.memoryBandwidth.value * subCluster.numberOfNodes}/></div></td> | ||||
|                                 <td>({memBwRate[subCluster.name]} {memBwRateUnit[subCluster.name]} / {(subCluster.memoryBandwidth.value * subCluster.numberOfNodes)} {memBwRateUnit[subCluster.name]} [Max])</td> | ||||
|                                 <td> | ||||
|                                     {scaleNumbers(memBwRate[subCluster.name], | ||||
|                                                   (subCluster.memoryBandwidth.value * subCluster.numberOfNodes),  | ||||
|                                                   memBwRateUnitPrefix[subCluster.name]) | ||||
|                                     }{memBwRateUnitBase[subCluster.name]} [Max] | ||||
|                                 </td> | ||||
|                             </tr> | ||||
|                         </Table> | ||||
|                     </CardBody> | ||||
|   | ||||
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