cc-backend/web/frontend/src/plots/Rooflineuplot.svelte
2023-09-05 09:19:43 +02:00

360 lines
12 KiB
Svelte

<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}