mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-26 13:29:05 +01:00
Rename dev component, separate rooflineHeatmap
- moved roofline helper functions to utils
This commit is contained in:
parent
f235b1a99c
commit
b449b77b95
@ -10,7 +10,7 @@
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import { binsFromFootprint } from './utils.js'
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import ScatterPlot from './plots/Scatter.svelte'
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import PlotTable from './PlotTable.svelte'
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import Roofline from './plots/Roofline.svelte'
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import RooflineHeatmap from './plots/RooflineHeatmap.svelte'
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const { query: initq } = init()
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@ -315,7 +315,7 @@
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{:else if $rooflineQuery.data && cluster}
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<div bind:clientWidth={colWidth2}>
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{#key $rooflineQuery.data}
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<Roofline
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<RooflineHeatmap
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width={colWidth2} height={300}
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tiles={$rooflineQuery.data.rooflineHeatmap}
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cluster={cluster.subClusters.length == 1 ? cluster.subClusters[0] : null}
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@ -1,8 +1,7 @@
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<script>
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import { getContext } from "svelte";
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import Refresher from "./joblist/Refresher.svelte";
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import Roofline, { transformPerNodeData } from "./plots/Roofline.svelte";
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import Rooflineuplot from "./plots/Rooflineuplot.svelte";
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import Roofline from "./plots/Roofline.svelte";
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import Pie, { colors } from "./plots/Pie.svelte";
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import Histogram from "./plots/Histogram.svelte";
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import {
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@ -17,7 +16,7 @@
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Progress,
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Icon,
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} from "sveltestrap";
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import { init, convert2uplot } from "./utils.js";
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import { init, convert2uplot, transformPerNodeDataForRoofline } from "./utils.js";
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import { scaleNumbers } from "./units.js";
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import {
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queryStore,
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@ -33,8 +32,7 @@
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let plotWidths = [],
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colWidth1 = 0,
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colWidth2 = 0,
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colWidth3 = 0;
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colWidth2 = 0
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let from = new Date(Date.now() - 5 * 60 * 1000),
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to = new Date(Date.now());
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const topOptions = [
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@ -434,7 +432,7 @@
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colorDots={true}
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showTime={false}
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cluster={subCluster}
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data={transformPerNodeData(
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data={transformPerNodeDataForRoofline(
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$mainQuery.data.nodeMetrics.filter(
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(data) => data.subCluster == subCluster.name
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)
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@ -667,13 +665,4 @@
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{/key}
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</Col>
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</Row>
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<Row>
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<Col>
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<div bind:clientWidth={colWidth3}>
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<Rooflineuplot
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width={colWidth3 - 25}
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cluster={$initq.data.clusters.find((c) => c.name == cluster).subClusters[0]}
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/>
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</Col>
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</Row>
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{/if}
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@ -1,16 +1,72 @@
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<div class="cc-plot">
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<canvas bind:this={canvasElement} width="{prevWidth}" height="{prevHeight}"></canvas>
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</div>
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<script>
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import uPlot from 'uplot'
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import { formatNumber } from '../units.js'
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import { onMount, onDestroy } from 'svelte'
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import { Card } from 'sveltestrap'
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<script context="module">
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const axesColor = '#aaaaaa'
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const tickFontSize = 10
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const labelFontSize = 12
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const fontFamily = 'system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"'
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const paddingLeft = 40,
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paddingRight = 10,
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paddingTop = 10,
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paddingBottom = 50
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export let flopsAny = null
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export let memBw = null
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export let maxY = null
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export let cluster = null
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export let width = 500
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export let height = 300
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export let renderTime = false
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export let data = null
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let plotWrapper = null
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let uplot = null
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let timeoutId = null
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// Three Render-Cases:
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// #1 Single-Job Roofline -> Has Time-Information: Use data, allow renderTime
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// #2 MultiNode Roofline - > Has No Time-Information: Transform from nodeData, only "IST"-state of nodes, no timeInfo
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// #3 Multi-Job Roofline as Heatmap -> Keep Original
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// Start Demo Data
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function randInt(min, max) {
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return Math.floor(Math.random() * (max - min + 1)) + min;
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}
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function randFloat(min, max) {
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return roundTwo(((Math.random() * (max - min + 1)) + min) / randInt(1, 500));
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}
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function roundTwo(num) {
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return Math.round((num + Number.EPSILON) * 100) / 100
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}
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function filledArr(len, val, time) {
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let arr = Array(len);
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if (typeof val == "function") {
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for (let i = 0; i < len; ++i)
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arr[i] = val(i);
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}
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else if (time) {
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for (let i = 0; i < len; ++i)
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arr[i] = i / 1000;
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}
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else {
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for (let i = 0; i < len; ++i)
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arr[i] = i;
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}
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return arr;
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}
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let points = 1000;
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data = [null, []] // Null-Axis required for scatter
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data[1][0] = filledArr(points, i => randFloat(1,5000), false) // Intensity
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data[1][1] = filledArr(points, i => randFloat(1,5000), false) // Performance
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// data[1][0] = filledArr(points, 0, false) // Intensity
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// data[1][1] = filledArr(points, 0, false) // Performance
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data[2] = filledArr(points, 0, true) // Time Information (Optional)
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// End Demo Data
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// Helpers
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function getGradientR(x) {
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if (x < 0.5) return 0
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@ -37,6 +93,10 @@
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return `rgb(${getGradientR(c)}, ${getGradientG(c)}, ${getGradientB(c)})`
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}
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function nearestThousand (num) {
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return Math.ceil(num/1000) * 1000
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}
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function lineIntersect(x1, y1, x2, y2, x3, y3, x4, y4) {
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let l = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1)
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let a = ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) / l
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@ -46,313 +106,192 @@
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}
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}
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function axisStepFactor(i, size) {
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if (size && size < 500)
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return 10
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// End Helpers
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if (i % 3 == 0)
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return 2
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else if (i % 3 == 1)
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return 2.5
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else
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return 2
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const drawColorPoints = (u, seriesIdx, idx0, idx1) => {
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const size = 5 * devicePixelRatio;
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uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
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let d = u.data[seriesIdx];
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let deg360 = 2 * Math.PI;
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for (let i = 0; i < d[0].length; i++) {
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let p = new Path2D();
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let xVal = d[0][i];
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let yVal = d[1][i];
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u.ctx.strokeStyle = getRGB(u.data[2][i])
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u.ctx.fillStyle = getRGB(u.data[2][i])
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if (xVal >= scaleX.min && xVal <= scaleX.max && yVal >= scaleY.min && yVal <= scaleY.max) {
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let cx = valToPosX(xVal, scaleX, xDim, xOff);
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let cy = valToPosY(yVal, scaleY, yDim, yOff);
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p.moveTo(cx + size/2, cy);
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arc(p, cx, cy, size/2, 0, deg360);
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}
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function render(ctx, data, cluster, width, height, colorDots, showTime, defaultMaxY) {
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if (width <= 0)
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return
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const [minX, maxX, minY, maxY] = [0.01, 1000, 1., cluster?.flopRateSimd?.value || defaultMaxY]
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const w = width - paddingLeft - paddingRight
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const h = height - paddingTop - paddingBottom
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// Helpers:
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const [log10minX, log10maxX, log10minY, log10maxY] =
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[Math.log10(minX), Math.log10(maxX), Math.log10(minY), Math.log10(maxY)]
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/* Value -> Pixel-Coordinate */
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const getCanvasX = (x) => {
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x = Math.log10(x)
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x -= log10minX; x /= (log10maxX - log10minX)
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return Math.round((x * w) + paddingLeft)
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}
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const getCanvasY = (y) => {
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y = Math.log10(y)
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y -= log10minY
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y /= (log10maxY - log10minY)
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return Math.round((h - y * h) + paddingTop)
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u.ctx.fill(p);
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}
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});
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// Axes
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ctx.fillStyle = 'black'
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ctx.strokeStyle = axesColor
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ctx.font = `${tickFontSize}px ${fontFamily}`
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ctx.beginPath()
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for (let x = minX, i = 0; x <= maxX; i++) {
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let px = getCanvasX(x)
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let text = formatNumber(x)
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let textWidth = ctx.measureText(text).width
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ctx.fillText(text,
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Math.floor(px - (textWidth / 2)),
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height - paddingBottom + tickFontSize + 5)
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ctx.moveTo(px, paddingTop - 5)
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ctx.lineTo(px, height - paddingBottom + 5)
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return null;
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};
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x *= axisStepFactor(i, w)
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}
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if (data.xLabel) {
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ctx.font = `${labelFontSize}px ${fontFamily}`
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let textWidth = ctx.measureText(data.xLabel).width
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ctx.fillText(data.xLabel, Math.floor((width / 2) - (textWidth / 2)), height - 20)
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}
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const drawPoints = (u, seriesIdx, idx0, idx1) => {
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const size = 5 * devicePixelRatio;
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ctx.textAlign = 'center'
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ctx.font = `${tickFontSize}px ${fontFamily}`
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for (let y = minY, i = 0; y <= maxY; i++) {
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let py = getCanvasY(y)
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ctx.moveTo(paddingLeft - 5, py)
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ctx.lineTo(width - paddingRight + 5, py)
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ctx.save()
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ctx.translate(paddingLeft - 10, py)
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ctx.rotate(-Math.PI / 2)
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ctx.fillText(formatNumber(y), 0, 0)
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ctx.restore()
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y *= axisStepFactor(i)
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}
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if (data.yLabel) {
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ctx.font = `${labelFontSize}px ${fontFamily}`
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ctx.save()
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ctx.translate(15, Math.floor(height / 2))
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ctx.rotate(-Math.PI / 2)
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ctx.fillText(data.yLabel, 0, 0)
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ctx.restore()
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}
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ctx.stroke()
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// Draw Data
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if (data.x && data.y) {
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for (let i = 0; i < data.x.length; i++) {
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let x = data.x[i], y = data.y[i], c = data.c[i]
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if (x == null || y == null || Number.isNaN(x) || Number.isNaN(y))
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continue
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const s = 3
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const px = getCanvasX(x)
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const py = getCanvasY(y)
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ctx.fillStyle = getRGB(c)
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ctx.beginPath()
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ctx.arc(px, py, s, 0, Math.PI * 2, false)
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ctx.fill()
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}
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} else if (data.tiles) {
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const rows = data.tiles.length
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const cols = data.tiles[0].length
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const tileWidth = Math.ceil(w / cols)
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const tileHeight = Math.ceil(h / rows)
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let max = data.tiles.reduce((max, row) =>
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Math.max(max, row.reduce((max, val) =>
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Math.max(max, val)), 0), 0)
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if (max == 0)
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max = 1
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const tileColor = val => `rgba(255, 0, 0, ${(val / max)})`
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for (let i = 0; i < rows; i++) {
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for (let j = 0; j < cols; j++) {
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let px = paddingLeft + (j / cols) * w
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let py = paddingTop + (h - (i / rows) * h) - tileHeight
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ctx.fillStyle = tileColor(data.tiles[i][j])
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ctx.fillRect(px, py, tileWidth, tileHeight)
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}
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uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
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let d = u.data[seriesIdx];
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u.ctx.strokeStyle = getRGB(0);
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u.ctx.fillStyle = getRGB(0);
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let deg360 = 2 * Math.PI;
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let p = new Path2D();
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for (let i = 0; i < d[0].length; i++) {
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let xVal = d[0][i];
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let yVal = d[1][i];
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if (xVal >= scaleX.min && xVal <= scaleX.max && yVal >= scaleY.min && yVal <= scaleY.max) {
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let cx = valToPosX(xVal, scaleX, xDim, xOff);
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let cy = valToPosY(yVal, scaleY, yDim, yOff);
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p.moveTo(cx + size/2, cy);
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arc(p, cx, cy, size/2, 0, deg360);
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}
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}
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u.ctx.fill(p);
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});
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return null;
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};
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// Draw roofs
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ctx.strokeStyle = 'black'
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ctx.lineWidth = 2
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ctx.beginPath()
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function render() {
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const opts = {
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title: "",
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mode: 2,
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width: width,
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height: height,
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legend: {
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show: false
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},
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cursor: { drag: { x: false, y: false } },
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axes: [
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{ label: 'Intensity [FLOPS/Byte]' },
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{ label: 'Performace [GFLOPS]' }
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],
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scales: {
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x: {
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time: false,
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range: [0.01, 1000],
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distr: 3, // Render as log
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log: 10, // log exp
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},
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y: {
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range: [1.0, nearestThousand(cluster.flopRateSimd.value || maxY)],
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distr: 3, // Render as log
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log: 10, // log exp
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},
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},
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series: [
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{},
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{ paths: renderTime ? drawColorPoints : drawPoints }
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],
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hooks: {
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drawClear: [
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u => {
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u.series.forEach((s, i) => {
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if (i > 0)
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s._paths = null;
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});
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},
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],
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draw: [
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u => { // draw roofs when cluster set
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// console.log(u)
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if (cluster != null) {
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const padding = u._padding // [top, right, bottom, left]
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u.ctx.strokeStyle = 'black'
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u.ctx.lineWidth = 2
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u.ctx.beginPath()
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const ycut = 0.01 * cluster.memoryBandwidth.value
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const scalarKnee = (cluster.flopRateScalar.value - ycut) / cluster.memoryBandwidth.value
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const simdKnee = (cluster.flopRateSimd.value - ycut) / cluster.memoryBandwidth.value
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const scalarKneeX = getCanvasX(scalarKnee),
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simdKneeX = getCanvasX(simdKnee),
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flopRateScalarY = getCanvasY(cluster.flopRateScalar.value),
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flopRateSimdY = getCanvasY(cluster.flopRateSimd.value)
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const scalarKneeX = u.valToPos(scalarKnee, 'x', true), // Value, axis, toCanvasPixels
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simdKneeX = u.valToPos(simdKnee, 'x', true),
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flopRateScalarY = u.valToPos(cluster.flopRateScalar.value, 'y', true),
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flopRateSimdY = u.valToPos(cluster.flopRateSimd.value, 'y', true)
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if (scalarKneeX < width - paddingRight) {
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ctx.moveTo(scalarKneeX, flopRateScalarY)
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ctx.lineTo(width - paddingRight, flopRateScalarY)
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if (scalarKneeX < width - padding[1]) { // Top horizontal roofline
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u.ctx.moveTo(scalarKneeX, flopRateScalarY)
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u.ctx.lineTo(width - padding[1], flopRateScalarY)
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}
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if (simdKneeX < width - paddingRight) {
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ctx.moveTo(simdKneeX, flopRateSimdY)
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ctx.lineTo(width - paddingRight, flopRateSimdY)
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if (simdKneeX < width - padding[1]) { // Lower horitontal roofline
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u.ctx.moveTo(simdKneeX, flopRateSimdY)
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u.ctx.lineTo(width - padding[1], flopRateSimdY)
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}
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let x1 = getCanvasX(0.01),
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y1 = getCanvasY(ycut),
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x2 = getCanvasX(simdKnee),
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let x1 = u.valToPos(0.01, 'x', true),
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y1 = u.valToPos(ycut, 'y', true)
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let x2 = u.valToPos(simdKnee, 'x', true),
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y2 = flopRateSimdY
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let xAxisIntersect = lineIntersect(
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x1, y1, x2, y2,
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0, height - paddingBottom, width, height - paddingBottom)
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u.valToPos(0.01, 'x', true), u.valToPos(1.0, 'y', true), // X-Axis Start Coords
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u.valToPos(1000, 'x', true), u.valToPos(1.0, 'y', true) // X-Axis End Coords
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)
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if (xAxisIntersect.x > x1) {
|
||||
x1 = xAxisIntersect.x
|
||||
y1 = xAxisIntersect.y
|
||||
}
|
||||
|
||||
ctx.moveTo(x1, y1)
|
||||
ctx.lineTo(x2, y2)
|
||||
}
|
||||
ctx.stroke()
|
||||
// Diagonal
|
||||
u.ctx.moveTo(x1, y1)
|
||||
u.ctx.lineTo(x2, y2)
|
||||
|
||||
if (colorDots && showTime && data.x && data.y) {
|
||||
// The Color Scale For Time Information
|
||||
ctx.fillStyle = 'black'
|
||||
ctx.fillText('Time:', 17, height - 5)
|
||||
const start = paddingLeft + 5
|
||||
for (let x = start; x < width - paddingRight; x += 15) {
|
||||
let c = (x - start) / (width - start - paddingRight)
|
||||
ctx.fillStyle = getRGB(c)
|
||||
ctx.beginPath()
|
||||
ctx.arc(x, height - 10, 5, 0, Math.PI * 2, false)
|
||||
ctx.fill()
|
||||
u.ctx.stroke()
|
||||
// Reset grid lineWidth
|
||||
u.ctx.lineWidth = 0.15
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
};
|
||||
|
||||
uplot = new uPlot(opts, data, plotWrapper);
|
||||
}
|
||||
|
||||
function transformData(flopsAny, memBw, colorDots) { // Uses Metric Object
|
||||
const nodes = flopsAny.series.length
|
||||
const timesteps = flopsAny.series[0].data.length
|
||||
|
||||
/* c will contain values from 0 to 1 representing the time */
|
||||
const x = [], y = [], c = []
|
||||
|
||||
if (flopsAny && memBw) {
|
||||
for (let i = 0; i < nodes; i++) {
|
||||
const flopsData = flopsAny.series[i].data
|
||||
const memBwData = memBw.series[i].data
|
||||
for (let j = 0; j < timesteps; j++) {
|
||||
const f = flopsData[j], m = memBwData[j]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(colorDots ? j / timesteps : 0)
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.warn("transformData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
|
||||
// Return something to be plotted. The argument shall be the result of the
|
||||
// `nodeMetrics` GraphQL query.
|
||||
export function transformPerNodeData(nodes) {
|
||||
const x = [], y = [], c = []
|
||||
for (let node of nodes) {
|
||||
let flopsAny = node.metrics.find(m => m.name == 'flops_any' && m.scope == 'node')?.metric
|
||||
let memBw = node.metrics.find(m => m.name == 'mem_bw' && m.scope == 'node')?.metric
|
||||
if (!flopsAny || !memBw) {
|
||||
console.warn("transformPerNodeData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
continue
|
||||
}
|
||||
|
||||
let flopsData = flopsAny.series[0].data, memBwData = memBw.series[0].data
|
||||
const f = flopsData[flopsData.length - 1], m = memBwData[flopsData.length - 1]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(0)
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<script>
|
||||
import { onMount, tick } from 'svelte'
|
||||
import { formatNumber } from '../units.js'
|
||||
|
||||
export let flopsAny = null
|
||||
export let memBw = null
|
||||
export let cluster = null
|
||||
export let maxY = null
|
||||
export let width = 500
|
||||
export let height = 300
|
||||
export let tiles = null
|
||||
export let colorDots = true
|
||||
export let showTime = true
|
||||
export let data = null
|
||||
|
||||
console.assert(data || tiles || (flopsAny && memBw), "you must provide flopsAny and memBw or tiles!")
|
||||
|
||||
let ctx, canvasElement, prevWidth = width, prevHeight = height
|
||||
data = data != null ? data : (flopsAny && memBw
|
||||
? transformData(flopsAny.metric, memBw.metric, colorDots) // Use Metric Object from Parent
|
||||
: {
|
||||
tiles: tiles,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
})
|
||||
// Copied from Histogram
|
||||
|
||||
onMount(() => {
|
||||
ctx = canvasElement.getContext('2d')
|
||||
if (prevWidth != width || prevHeight != height) {
|
||||
sizeChanged()
|
||||
return
|
||||
}
|
||||
|
||||
canvasElement.width = width
|
||||
canvasElement.height = height
|
||||
render(ctx, data, cluster, width, height, colorDots, showTime, maxY)
|
||||
render()
|
||||
})
|
||||
|
||||
let timeoutId = null
|
||||
function sizeChanged() {
|
||||
if (!ctx)
|
||||
return
|
||||
onDestroy(() => {
|
||||
if (uplot)
|
||||
uplot.destroy()
|
||||
|
||||
if (timeoutId != null)
|
||||
clearTimeout(timeoutId)
|
||||
})
|
||||
|
||||
function sizeChanged() {
|
||||
if (timeoutId != null)
|
||||
clearTimeout(timeoutId)
|
||||
|
||||
prevWidth = width
|
||||
prevHeight = height
|
||||
timeoutId = setTimeout(() => {
|
||||
if (!canvasElement)
|
||||
return
|
||||
|
||||
timeoutId = null
|
||||
canvasElement.width = width
|
||||
canvasElement.height = height
|
||||
render(ctx, data, cluster, width, height, colorDots, showTime, maxY)
|
||||
}, 250)
|
||||
if (uplot)
|
||||
uplot.destroy()
|
||||
|
||||
render()
|
||||
}, 200)
|
||||
}
|
||||
|
||||
$: sizeChanged(width, height)
|
||||
|
||||
</script>
|
||||
|
||||
{#if data != null}
|
||||
<div bind:this={plotWrapper}/>
|
||||
{:else}
|
||||
<Card class="mx-4" body color="warning">Cannot render roofline: No data!</Card>
|
||||
{/if}
|
234
web/frontend/src/plots/RooflineHeatmap.svelte
Normal file
234
web/frontend/src/plots/RooflineHeatmap.svelte
Normal file
@ -0,0 +1,234 @@
|
||||
<div class="cc-plot">
|
||||
<canvas bind:this={canvasElement} width="{prevWidth}" height="{prevHeight}"></canvas>
|
||||
</div>
|
||||
|
||||
<script context="module">
|
||||
const axesColor = '#aaaaaa'
|
||||
const tickFontSize = 10
|
||||
const labelFontSize = 12
|
||||
const fontFamily = 'system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"'
|
||||
const paddingLeft = 40,
|
||||
paddingRight = 10,
|
||||
paddingTop = 10,
|
||||
paddingBottom = 50
|
||||
|
||||
function lineIntersect(x1, y1, x2, y2, x3, y3, x4, y4) {
|
||||
let l = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1)
|
||||
let a = ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) / l
|
||||
return {
|
||||
x: x1 + a * (x2 - x1),
|
||||
y: y1 + a * (y2 - y1)
|
||||
}
|
||||
}
|
||||
|
||||
function axisStepFactor(i, size) {
|
||||
if (size && size < 500)
|
||||
return 10
|
||||
|
||||
if (i % 3 == 0)
|
||||
return 2
|
||||
else if (i % 3 == 1)
|
||||
return 2.5
|
||||
else
|
||||
return 2
|
||||
}
|
||||
|
||||
function render(ctx, data, cluster, width, height, defaultMaxY) {
|
||||
if (width <= 0)
|
||||
return
|
||||
|
||||
const [minX, maxX, minY, maxY] = [0.01, 1000, 1., cluster?.flopRateSimd?.value || defaultMaxY]
|
||||
const w = width - paddingLeft - paddingRight
|
||||
const h = height - paddingTop - paddingBottom
|
||||
|
||||
// Helpers:
|
||||
const [log10minX, log10maxX, log10minY, log10maxY] =
|
||||
[Math.log10(minX), Math.log10(maxX), Math.log10(minY), Math.log10(maxY)]
|
||||
|
||||
/* Value -> Pixel-Coordinate */
|
||||
const getCanvasX = (x) => {
|
||||
x = Math.log10(x)
|
||||
x -= log10minX; x /= (log10maxX - log10minX)
|
||||
return Math.round((x * w) + paddingLeft)
|
||||
}
|
||||
const getCanvasY = (y) => {
|
||||
y = Math.log10(y)
|
||||
y -= log10minY
|
||||
y /= (log10maxY - log10minY)
|
||||
return Math.round((h - y * h) + paddingTop)
|
||||
}
|
||||
|
||||
// Axes
|
||||
ctx.fillStyle = 'black'
|
||||
ctx.strokeStyle = axesColor
|
||||
ctx.font = `${tickFontSize}px ${fontFamily}`
|
||||
ctx.beginPath()
|
||||
for (let x = minX, i = 0; x <= maxX; i++) {
|
||||
let px = getCanvasX(x)
|
||||
let text = formatNumber(x)
|
||||
let textWidth = ctx.measureText(text).width
|
||||
ctx.fillText(text,
|
||||
Math.floor(px - (textWidth / 2)),
|
||||
height - paddingBottom + tickFontSize + 5)
|
||||
ctx.moveTo(px, paddingTop - 5)
|
||||
ctx.lineTo(px, height - paddingBottom + 5)
|
||||
|
||||
x *= axisStepFactor(i, w)
|
||||
}
|
||||
if (data.xLabel) {
|
||||
ctx.font = `${labelFontSize}px ${fontFamily}`
|
||||
let textWidth = ctx.measureText(data.xLabel).width
|
||||
ctx.fillText(data.xLabel, Math.floor((width / 2) - (textWidth / 2)), height - 20)
|
||||
}
|
||||
|
||||
ctx.textAlign = 'center'
|
||||
ctx.font = `${tickFontSize}px ${fontFamily}`
|
||||
for (let y = minY, i = 0; y <= maxY; i++) {
|
||||
let py = getCanvasY(y)
|
||||
ctx.moveTo(paddingLeft - 5, py)
|
||||
ctx.lineTo(width - paddingRight + 5, py)
|
||||
|
||||
ctx.save()
|
||||
ctx.translate(paddingLeft - 10, py)
|
||||
ctx.rotate(-Math.PI / 2)
|
||||
ctx.fillText(formatNumber(y), 0, 0)
|
||||
ctx.restore()
|
||||
|
||||
y *= axisStepFactor(i)
|
||||
}
|
||||
if (data.yLabel) {
|
||||
ctx.font = `${labelFontSize}px ${fontFamily}`
|
||||
ctx.save()
|
||||
ctx.translate(15, Math.floor(height / 2))
|
||||
ctx.rotate(-Math.PI / 2)
|
||||
ctx.fillText(data.yLabel, 0, 0)
|
||||
ctx.restore()
|
||||
}
|
||||
ctx.stroke()
|
||||
|
||||
// Draw Data
|
||||
if (data.tiles) {
|
||||
const rows = data.tiles.length
|
||||
const cols = data.tiles[0].length
|
||||
|
||||
const tileWidth = Math.ceil(w / cols)
|
||||
const tileHeight = Math.ceil(h / rows)
|
||||
|
||||
let max = data.tiles.reduce((max, row) =>
|
||||
Math.max(max, row.reduce((max, val) =>
|
||||
Math.max(max, val)), 0), 0)
|
||||
|
||||
if (max == 0)
|
||||
max = 1
|
||||
|
||||
const tileColor = val => `rgba(255, 0, 0, ${(val / max)})`
|
||||
|
||||
for (let i = 0; i < rows; i++) {
|
||||
for (let j = 0; j < cols; j++) {
|
||||
let px = paddingLeft + (j / cols) * w
|
||||
let py = paddingTop + (h - (i / rows) * h) - tileHeight
|
||||
|
||||
ctx.fillStyle = tileColor(data.tiles[i][j])
|
||||
ctx.fillRect(px, py, tileWidth, tileHeight)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Draw roofs
|
||||
ctx.strokeStyle = 'black'
|
||||
ctx.lineWidth = 2
|
||||
ctx.beginPath()
|
||||
if (cluster != null) {
|
||||
const ycut = 0.01 * cluster.memoryBandwidth.value
|
||||
const scalarKnee = (cluster.flopRateScalar.value - ycut) / cluster.memoryBandwidth.value
|
||||
const simdKnee = (cluster.flopRateSimd.value - ycut) / cluster.memoryBandwidth.value
|
||||
const scalarKneeX = getCanvasX(scalarKnee),
|
||||
simdKneeX = getCanvasX(simdKnee),
|
||||
flopRateScalarY = getCanvasY(cluster.flopRateScalar.value),
|
||||
flopRateSimdY = getCanvasY(cluster.flopRateSimd.value)
|
||||
|
||||
if (scalarKneeX < width - paddingRight) {
|
||||
ctx.moveTo(scalarKneeX, flopRateScalarY)
|
||||
ctx.lineTo(width - paddingRight, flopRateScalarY)
|
||||
}
|
||||
|
||||
if (simdKneeX < width - paddingRight) {
|
||||
ctx.moveTo(simdKneeX, flopRateSimdY)
|
||||
ctx.lineTo(width - paddingRight, flopRateSimdY)
|
||||
}
|
||||
|
||||
let x1 = getCanvasX(0.01),
|
||||
y1 = getCanvasY(ycut),
|
||||
x2 = getCanvasX(simdKnee),
|
||||
y2 = flopRateSimdY
|
||||
|
||||
let xAxisIntersect = lineIntersect(
|
||||
x1, y1, x2, y2,
|
||||
0, height - paddingBottom, width, height - paddingBottom)
|
||||
|
||||
if (xAxisIntersect.x > x1) {
|
||||
x1 = xAxisIntersect.x
|
||||
y1 = xAxisIntersect.y
|
||||
}
|
||||
|
||||
ctx.moveTo(x1, y1)
|
||||
ctx.lineTo(x2, y2)
|
||||
}
|
||||
ctx.stroke()
|
||||
}
|
||||
</script>
|
||||
|
||||
<script>
|
||||
import { onMount } from 'svelte'
|
||||
import { formatNumber } from '../units.js'
|
||||
|
||||
export let cluster = null
|
||||
export let tiles = null
|
||||
export let maxY = null
|
||||
export let width = 500
|
||||
export let height = 300
|
||||
|
||||
console.assert(tiles, "you must provide tiles!")
|
||||
|
||||
let ctx, canvasElement, prevWidth = width, prevHeight = height
|
||||
const data = {
|
||||
tiles: tiles,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
|
||||
onMount(() => {
|
||||
ctx = canvasElement.getContext('2d')
|
||||
if (prevWidth != width || prevHeight != height) {
|
||||
sizeChanged()
|
||||
return
|
||||
}
|
||||
|
||||
canvasElement.width = width
|
||||
canvasElement.height = height
|
||||
render(ctx, data, cluster, width, height, maxY)
|
||||
})
|
||||
|
||||
let timeoutId = null
|
||||
function sizeChanged() {
|
||||
if (!ctx)
|
||||
return
|
||||
|
||||
if (timeoutId != null)
|
||||
clearTimeout(timeoutId)
|
||||
|
||||
prevWidth = width
|
||||
prevHeight = height
|
||||
timeoutId = setTimeout(() => {
|
||||
if (!canvasElement)
|
||||
return
|
||||
|
||||
timeoutId = null
|
||||
canvasElement.width = width
|
||||
canvasElement.height = height
|
||||
render(ctx, data, cluster, width, height, maxY)
|
||||
}, 250)
|
||||
}
|
||||
|
||||
$: sizeChanged(width, height)
|
||||
</script>
|
@ -1,360 +0,0 @@
|
||||
<script>
|
||||
import uPlot from 'uplot'
|
||||
import { formatNumber } from '../units.js'
|
||||
import { onMount, onDestroy } from 'svelte'
|
||||
import { Card } from 'sveltestrap'
|
||||
|
||||
export let flopsAny = null
|
||||
export let memBw = null
|
||||
export let maxY = null
|
||||
export let cluster = null
|
||||
export let width = 500
|
||||
export let height = 300
|
||||
export let renderTime = false
|
||||
export let data = null
|
||||
|
||||
let plotWrapper = null
|
||||
let uplot = null
|
||||
let timeoutId = null
|
||||
|
||||
// Three Render-Cases:
|
||||
// #1 Single-Job Roofline -> Has Time-Information: Use data, allow colorDots && showTime
|
||||
// #2 MultiNode Roofline - > Has No Time-Information: Transform from nodeData, only "IST"-state of nodes, no timeInfo
|
||||
// #3 Multi-Job Roofline -> No Time Information? -> Use Backend-Prepared "Tiles" with increasing occupancy for stronger values
|
||||
|
||||
// Start Demo Data
|
||||
|
||||
function randInt(min, max) {
|
||||
return Math.floor(Math.random() * (max - min + 1)) + min;
|
||||
}
|
||||
|
||||
function randFloat(min, max) {
|
||||
return roundTwo(((Math.random() * (max - min + 1)) + min) / randInt(1, 500));
|
||||
}
|
||||
|
||||
function roundTwo(num) {
|
||||
return Math.round((num + Number.EPSILON) * 100) / 100
|
||||
}
|
||||
|
||||
function filledArr(len, val, time) {
|
||||
let arr = Array(len);
|
||||
|
||||
if (typeof val == "function") {
|
||||
for (let i = 0; i < len; ++i)
|
||||
arr[i] = val(i);
|
||||
}
|
||||
else if (time) {
|
||||
for (let i = 0; i < len; ++i)
|
||||
arr[i] = i / 1000;
|
||||
}
|
||||
else {
|
||||
for (let i = 0; i < len; ++i)
|
||||
arr[i] = i;
|
||||
}
|
||||
|
||||
return arr;
|
||||
}
|
||||
|
||||
let points = 1000;
|
||||
|
||||
data = [null, []] // Null-Axis required for scatter
|
||||
data[1][0] = filledArr(points, i => randFloat(1,5000), false) // Intensity
|
||||
data[1][1] = filledArr(points, i => randFloat(1,5000), false) // Performance
|
||||
// data[1][0] = filledArr(points, 0, false) // Intensity
|
||||
// data[1][1] = filledArr(points, 0, false) // Performance
|
||||
data[2] = filledArr(points, 0, true) // Time Information (Optional)
|
||||
|
||||
// End Demo Data
|
||||
|
||||
// Helpers
|
||||
|
||||
function getGradientR(x) {
|
||||
if (x < 0.5) return 0
|
||||
if (x > 0.75) return 255
|
||||
x = (x - 0.5) * 4.0
|
||||
return Math.floor(x * 255.0)
|
||||
}
|
||||
|
||||
function getGradientG(x) {
|
||||
if (x > 0.25 && x < 0.75) return 255
|
||||
if (x < 0.25) x = x * 4.0
|
||||
else x = 1.0 - (x - 0.75) * 4.0
|
||||
return Math.floor(x * 255.0)
|
||||
}
|
||||
|
||||
function getGradientB(x) {
|
||||
if (x < 0.25) return 255
|
||||
if (x > 0.5) return 0
|
||||
x = 1.0 - (x - 0.25) * 4.0
|
||||
return Math.floor(x * 255.0)
|
||||
}
|
||||
|
||||
function getRGB(c) {
|
||||
return `rgb(${getGradientR(c)}, ${getGradientG(c)}, ${getGradientB(c)})`
|
||||
}
|
||||
|
||||
function nearestThousand (num) {
|
||||
return Math.ceil(num/1000) * 1000
|
||||
}
|
||||
|
||||
function lineIntersect(x1, y1, x2, y2, x3, y3, x4, y4) {
|
||||
let l = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1)
|
||||
let a = ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) / l
|
||||
return {
|
||||
x: x1 + a * (x2 - x1),
|
||||
y: y1 + a * (y2 - y1)
|
||||
}
|
||||
}
|
||||
|
||||
function transformData(flopsAny, memBw, colorDots) { // Uses Metric Object
|
||||
const nodes = flopsAny.series.length
|
||||
const timesteps = flopsAny.series[0].data.length
|
||||
|
||||
/* c will contain values from 0 to 1 representing the time */
|
||||
const x = [], y = [], c = []
|
||||
|
||||
if (flopsAny && memBw) {
|
||||
for (let i = 0; i < nodes; i++) {
|
||||
const flopsData = flopsAny.series[i].data
|
||||
const memBwData = memBw.series[i].data
|
||||
for (let j = 0; j < timesteps; j++) {
|
||||
const f = flopsData[j], m = memBwData[j]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(colorDots ? j / timesteps : 0)
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.warn("transformData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
|
||||
// Return something to be plotted. The argument shall be the result of the
|
||||
// `nodeMetrics` GraphQL query.
|
||||
export function transformPerNodeData(nodes) {
|
||||
const x = [], y = [], c = []
|
||||
for (let node of nodes) {
|
||||
let flopsAny = node.metrics.find(m => m.name == 'flops_any' && m.scope == 'node')?.metric
|
||||
let memBw = node.metrics.find(m => m.name == 'mem_bw' && m.scope == 'node')?.metric
|
||||
if (!flopsAny || !memBw) {
|
||||
console.warn("transformPerNodeData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
continue
|
||||
}
|
||||
|
||||
let flopsData = flopsAny.series[0].data, memBwData = memBw.series[0].data
|
||||
const f = flopsData[flopsData.length - 1], m = memBwData[flopsData.length - 1]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(0)
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
|
||||
// End Helpers
|
||||
|
||||
const drawColorPoints = (u, seriesIdx, idx0, idx1) => {
|
||||
const size = 5 * devicePixelRatio;
|
||||
|
||||
uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
|
||||
let d = u.data[seriesIdx];
|
||||
let deg360 = 2 * Math.PI;
|
||||
for (let i = 0; i < d[0].length; i++) {
|
||||
let p = new Path2D();
|
||||
let xVal = d[0][i];
|
||||
let yVal = d[1][i];
|
||||
u.ctx.strokeStyle = getRGB(u.data[2][i])
|
||||
u.ctx.fillStyle = getRGB(u.data[2][i])
|
||||
if (xVal >= scaleX.min && xVal <= scaleX.max && yVal >= scaleY.min && yVal <= scaleY.max) {
|
||||
let cx = valToPosX(xVal, scaleX, xDim, xOff);
|
||||
let cy = valToPosY(yVal, scaleY, yDim, yOff);
|
||||
|
||||
p.moveTo(cx + size/2, cy);
|
||||
arc(p, cx, cy, size/2, 0, deg360);
|
||||
}
|
||||
u.ctx.fill(p);
|
||||
}
|
||||
});
|
||||
|
||||
return null;
|
||||
};
|
||||
|
||||
const drawPoints = (u, seriesIdx, idx0, idx1) => {
|
||||
const size = 5 * devicePixelRatio;
|
||||
|
||||
uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
|
||||
let d = u.data[seriesIdx];
|
||||
u.ctx.strokeStyle = getRGB(0);
|
||||
u.ctx.fillStyle = getRGB(0);
|
||||
let deg360 = 2 * Math.PI;
|
||||
let p = new Path2D();
|
||||
for (let i = 0; i < d[0].length; i++) {
|
||||
let xVal = d[0][i];
|
||||
let yVal = d[1][i];
|
||||
if (xVal >= scaleX.min && xVal <= scaleX.max && yVal >= scaleY.min && yVal <= scaleY.max) {
|
||||
let cx = valToPosX(xVal, scaleX, xDim, xOff);
|
||||
let cy = valToPosY(yVal, scaleY, yDim, yOff);
|
||||
p.moveTo(cx + size/2, cy);
|
||||
arc(p, cx, cy, size/2, 0, deg360);
|
||||
}
|
||||
}
|
||||
u.ctx.fill(p);
|
||||
});
|
||||
return null;
|
||||
};
|
||||
|
||||
function render() {
|
||||
const opts = {
|
||||
title: "",
|
||||
mode: 2,
|
||||
width: width,
|
||||
height: height,
|
||||
legend: {
|
||||
show: false
|
||||
},
|
||||
cursor: { drag: { x: false, y: false } },
|
||||
axes: [
|
||||
{ label: 'Intensity [FLOPS/Byte]' },
|
||||
{ label: 'Performace [GFLOPS]' }
|
||||
],
|
||||
scales: {
|
||||
x: {
|
||||
time: false,
|
||||
range: [0.01, 1000],
|
||||
distr: 3, // Render as log
|
||||
log: 10, // log exp
|
||||
},
|
||||
y: {
|
||||
range: [1.0, nearestThousand(cluster.flopRateSimd.value || maxY)],
|
||||
distr: 3, // Render as log
|
||||
log: 10, // log exp
|
||||
},
|
||||
},
|
||||
series: [
|
||||
{},
|
||||
{ paths: renderTime ? drawColorPoints : drawPoints }
|
||||
],
|
||||
hooks: {
|
||||
drawClear: [
|
||||
u => {
|
||||
u.series.forEach((s, i) => {
|
||||
if (i > 0)
|
||||
s._paths = null;
|
||||
});
|
||||
},
|
||||
],
|
||||
draw: [
|
||||
u => { // draw roofs when cluster set
|
||||
// console.log(u)
|
||||
if (cluster != null) {
|
||||
const padding = u._padding // [top, right, bottom, left]
|
||||
|
||||
u.ctx.strokeStyle = 'black'
|
||||
u.ctx.lineWidth = 2
|
||||
u.ctx.beginPath()
|
||||
|
||||
const ycut = 0.01 * cluster.memoryBandwidth.value
|
||||
const scalarKnee = (cluster.flopRateScalar.value - ycut) / cluster.memoryBandwidth.value
|
||||
const simdKnee = (cluster.flopRateSimd.value - ycut) / cluster.memoryBandwidth.value
|
||||
const scalarKneeX = u.valToPos(scalarKnee, 'x', true), // Value, axis, toCanvasPixels
|
||||
simdKneeX = u.valToPos(simdKnee, 'x', true),
|
||||
flopRateScalarY = u.valToPos(cluster.flopRateScalar.value, 'y', true),
|
||||
flopRateSimdY = u.valToPos(cluster.flopRateSimd.value, 'y', true)
|
||||
|
||||
if (scalarKneeX < width - padding[1]) { // Top horizontal roofline
|
||||
u.ctx.moveTo(scalarKneeX, flopRateScalarY)
|
||||
u.ctx.lineTo(width - padding[1], flopRateScalarY)
|
||||
}
|
||||
|
||||
if (simdKneeX < width - padding[1]) { // Lower horitontal roofline
|
||||
u.ctx.moveTo(simdKneeX, flopRateSimdY)
|
||||
u.ctx.lineTo(width - padding[1], flopRateSimdY)
|
||||
}
|
||||
|
||||
let x1 = u.valToPos(0.01, 'x', true),
|
||||
y1 = u.valToPos(ycut, 'y', true)
|
||||
|
||||
let x2 = u.valToPos(simdKnee, 'x', true),
|
||||
y2 = flopRateSimdY
|
||||
|
||||
let xAxisIntersect = lineIntersect(
|
||||
x1, y1, x2, y2,
|
||||
u.valToPos(0.01, 'x', true), u.valToPos(1.0, 'y', true), // X-Axis Start Coords
|
||||
u.valToPos(1000, 'x', true), u.valToPos(1.0, 'y', true) // X-Axis End Coords
|
||||
)
|
||||
|
||||
if (xAxisIntersect.x > x1) {
|
||||
x1 = xAxisIntersect.x
|
||||
y1 = xAxisIntersect.y
|
||||
}
|
||||
|
||||
// Diagonal
|
||||
u.ctx.moveTo(x1, y1)
|
||||
u.ctx.lineTo(x2, y2)
|
||||
|
||||
u.ctx.stroke()
|
||||
// Reset grid lineWidth
|
||||
u.ctx.lineWidth = 0.15
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
};
|
||||
|
||||
uplot = new uPlot(opts, data, plotWrapper);
|
||||
}
|
||||
|
||||
// Copied from Histogram
|
||||
|
||||
onMount(() => {
|
||||
render()
|
||||
})
|
||||
|
||||
onDestroy(() => {
|
||||
if (uplot)
|
||||
uplot.destroy()
|
||||
|
||||
if (timeoutId != null)
|
||||
clearTimeout(timeoutId)
|
||||
})
|
||||
|
||||
function sizeChanged() {
|
||||
if (timeoutId != null)
|
||||
clearTimeout(timeoutId)
|
||||
|
||||
timeoutId = setTimeout(() => {
|
||||
timeoutId = null
|
||||
if (uplot)
|
||||
uplot.destroy()
|
||||
|
||||
render()
|
||||
}, 200)
|
||||
}
|
||||
|
||||
$: sizeChanged(width, height)
|
||||
|
||||
</script>
|
||||
|
||||
{#if data != null}
|
||||
<div bind:this={plotWrapper}/>
|
||||
{:else}
|
||||
<Card class="mx-4" body color="warning">Cannot render roofline: No data!</Card>
|
||||
{/if}
|
@ -363,3 +363,66 @@ export function binsFromFootprint(weights, scope, values, numBins) {
|
||||
bins: bins
|
||||
}
|
||||
}
|
||||
|
||||
export function transformDataForRoofline(flopsAny, memBw, renderTime) { // Uses Metric Object
|
||||
const nodes = flopsAny.series.length
|
||||
const timesteps = flopsAny.series[0].data.length
|
||||
|
||||
/* c will contain values from 0 to 1 representing the time */
|
||||
const x = [], y = [], c = []
|
||||
|
||||
if (flopsAny && memBw) {
|
||||
for (let i = 0; i < nodes; i++) {
|
||||
const flopsData = flopsAny.series[i].data
|
||||
const memBwData = memBw.series[i].data
|
||||
for (let j = 0; j < timesteps; j++) {
|
||||
const f = flopsData[j], m = memBwData[j]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(renderTime ? j / timesteps : 0)
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.warn("transformData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
|
||||
// Return something to be plotted. The argument shall be the result of the
|
||||
// `nodeMetrics` GraphQL query.
|
||||
export function transformPerNodeDataForRoofline(nodes) {
|
||||
const x = [], y = [], c = []
|
||||
for (let node of nodes) {
|
||||
let flopsAny = node.metrics.find(m => m.name == 'flops_any' && m.scope == 'node')?.metric
|
||||
let memBw = node.metrics.find(m => m.name == 'mem_bw' && m.scope == 'node')?.metric
|
||||
if (!flopsAny || !memBw) {
|
||||
console.warn("transformPerNodeData: metrics for 'mem_bw' and/or 'flops_any' missing!")
|
||||
continue
|
||||
}
|
||||
|
||||
let flopsData = flopsAny.series[0].data, memBwData = memBw.series[0].data
|
||||
const f = flopsData[flopsData.length - 1], m = memBwData[flopsData.length - 1]
|
||||
const intensity = f / m
|
||||
if (Number.isNaN(intensity) || !Number.isFinite(intensity))
|
||||
continue
|
||||
|
||||
x.push(intensity)
|
||||
y.push(f)
|
||||
c.push(0)
|
||||
}
|
||||
|
||||
return {
|
||||
x, y, c,
|
||||
xLabel: 'Intensity [FLOPS/byte]',
|
||||
yLabel: 'Performance [GFLOPS]'
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user