Introduce units.js, centralizes value normalizing

web/frontend/src/Status.root.svelte

@@ -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
+            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
+            flopRate[subCluster.name]           = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'flops_any') * 100) / 100
-            flopRateUnit[subCluster.name] = subCluster.flopRateSimd.unit.prefix + subCluster.flopRateSimd.unit.base
+            flopRateUnitPrefix[subCluster.name] = subCluster.flopRateSimd.unit.prefix
-            memBwRate[subCluster.name] = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'mem_bw') * 100) / 100
+            flopRateUnitBase[subCluster.name]   = subCluster.flopRateSimd.unit.base
-            memBwRateUnit[subCluster.name] = subCluster.memoryBandwidth.unit.prefix + subCluster.memoryBandwidth.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>

web/frontend/src/plots/Histogram.svelte

@@ -196,7 +196,7 @@
 </style>
 
 <script context="module">
-    import { formatNumber } from '../utils.js'
+    import { formatNumber } from '../units.js'
 
     export function binsFromFootprint(weights, values, numBins) {
         let min = 0, max = 0

web/frontend/src/plots/MetricPlot.svelte

@@ -22,7 +22,7 @@
  -->
 <script>
     import uPlot from 'uplot'
-    import { formatNumber } from '../utils.js'
+    import { formatNumber } from '../units.js'
     import { getContext, onMount, onDestroy } from 'svelte'
 
     export let width
@@ -312,7 +312,9 @@
 
 </script>
 
+<!--Add empty series warning card-->
 <div bind:this={plotWrapper} class="cc-plot"></div>
+
 <style>
     .cc-plot {
         border-radius: 5px;

web/frontend/src/plots/Roofline.svelte

@@ -46,16 +46,6 @@
         }
     }
 
-    const power = [1, 1e3, 1e6, 1e9, 1e12]
-    const suffix = ['', 'k', 'm', 'g']
-    function formatNumber(x) {
-        for (let i = 0; i < suffix.length; i++)
-            if (power[i] <= x && x < power[i+1])
-                return `${x / power[i]}${suffix[i]}`
-
-        return Math.abs(x) >= 1000 ? x.toExponential() : x.toString()
-    }
-
     function axisStepFactor(i, size) {
         if (size && size < 500)
             return 10
@@ -307,6 +297,7 @@
 
 <script>
     import { onMount, tick } from 'svelte'
+    import { formatNumber } from '../units.js'
 
     export let flopsAny = null
     export let memBw = null

web/frontend/src/plots/Scatter.svelte

@@ -3,7 +3,7 @@
 </div>
 
 <script context="module">
-    import { formatNumber } from '../utils.js'
+    import { formatNumber } from '../units.js'
 
     const axesColor = '#aaaaaa'
     const fontSize = 12

web/frontend/src/units.js

@@ -0,0 +1,29 @@
+/*
+    Collect Functions for Unit Handling and Scaling Here
+*/
+
+const power  = [1, 1e3, 1e6, 1e9, 1e12, 1e15, 1e18, 1e21]
+const prefix = ['', 'K', 'M', 'G', 'T', 'P', 'E']
+
+export function formatNumber(x) {
+    for (let i = 0; i < prefix.length; i++)
+        if (power[i] <= x && x < power[i+1])
+            return `${Math.round((x / power[i]) * 100) / 100} ${prefix[i]}`
+
+    return Math.abs(x) >= 1000 ? x.toExponential() : x.toString()
+}
+
+export function scaleNumbers(x, y , p = '') {
+    const oldPower  = power[prefix.indexOf(p)]
+    const rawXValue = x * oldPower 
+    const rawYValue = y * oldPower 
+
+    for (let i = 0; i < prefix.length; i++) {
+        if (power[i] <= rawYValue && rawYValue < power[i+1]) {
+            return `${Math.round((rawXValue / power[i]) * 100) / 100} / ${Math.round((rawYValue / power[i]) * 100) / 100} ${prefix[i]}`
+        }
+    }
+
+    return Math.abs(rawYValue) >= 1000 ? `${rawXValue.toExponential()} / ${rawYValue.toExponential()}` : `${rawYValue.toString()} / ${rawYValue.toString()}`
+}
+

web/frontend/src/utils.js

@@ -123,22 +123,6 @@ export function init(extraInitQuery = "") {
     };
 }
 
-export function formatNumber(x) {
-    let suffix = "";
-    if (x >= 1000000000) {
-        x /= 1000000;
-        suffix = "G";
-    } else if (x >= 1000000) {
-        x /= 1000000;
-        suffix = "M";
-    } else if (x >= 1000) {
-        x /= 1000;
-        suffix = "k";
-    }
-
-    return `${Math.round(x * 100) / 100} ${suffix}`;
-}
-
 // Use https://developer.mozilla.org/en-US/docs/Web/API/structuredClone instead?
 export function deepCopy(x) {
     return JSON.parse(JSON.stringify(x));