mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-26 13:29:05 +01:00
Render loglog scatter, fix data format, start draw
This commit is contained in:
Christoph Kluge
parent
c1b5134627
commit
8d7f942de4
@ -672,6 +672,7 @@
|
||||
<div bind:clientWidth={colWidth3}>
|
||||
<Rooflineuplot
|
||||
width={colWidth3 - 25}
|
||||
cluster={$initq.data.clusters.find((c) => c.name == cluster).subClusters[0]}
|
||||
/>
|
||||
</Col>
|
||||
</Row>
|
||||
|
||||
@ -7,7 +7,7 @@
|
||||
export let flopsAny = null
|
||||
export let memBw = null
|
||||
export let cluster = null
|
||||
export let maxY = null
|
||||
export let defaultMaxY = null
|
||||
export let width = 500
|
||||
export let height = 300
|
||||
export let tiles = null
|
||||
@ -19,6 +19,11 @@
|
||||
let uplot = null
|
||||
let timeoutId = null
|
||||
|
||||
const paddingLeft = 40,
|
||||
paddingRight = 10,
|
||||
paddingTop = 10,
|
||||
paddingBottom = 50
|
||||
|
||||
// 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
|
||||
@ -30,6 +35,14 @@
|
||||
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) {
|
||||
let arr = Array(len);
|
||||
|
||||
@ -45,26 +58,42 @@
|
||||
return arr;
|
||||
}
|
||||
|
||||
let points = 100;
|
||||
let series = 2;
|
||||
let time = []
|
||||
let points = 1000;
|
||||
|
||||
for (let i = 0; i < points; ++i)
|
||||
time[i] = i;
|
||||
|
||||
data = filledArr(series, v => [
|
||||
filledArr(points, i => randInt(0,200)),
|
||||
filledArr(points, i => randInt(0,200)),
|
||||
]);
|
||||
|
||||
data[0] = null;
|
||||
data = [null, [], []] // Null-Axis required for scatter
|
||||
data[1][0] = filledArr(points, i => randFloat(1,5000)) // Intensity
|
||||
data[1][1] = filledArr(points, i => randFloat(1,5000)) // Performance
|
||||
data[2] = filledArr(points, i => 0) // Time Information (Optional)
|
||||
|
||||
console.log("Subcluster: ", cluster);
|
||||
console.log("Data: ", data);
|
||||
|
||||
// End Demo Data
|
||||
|
||||
// Helpers
|
||||
|
||||
const [minX, maxX, minY, maxY] = [0.01, 1000, 1., cluster?.flopRateSimd?.value || defaultMaxY]
|
||||
|
||||
const w = width - paddingLeft - paddingRight
|
||||
|
||||
const h = height - paddingTop - paddingBottom
|
||||
|
||||
const [log10minX, log10maxX, log10minY, log10maxY] =
|
||||
[Math.log10(minX), Math.log10(maxX), Math.log10(minY), Math.log10(maxY)]
|
||||
|
||||
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)
|
||||
}
|
||||
|
||||
function getGradientR(x) {
|
||||
if (x < 0.5) return 0
|
||||
if (x > 0.75) return 255
|
||||
@ -90,6 +119,78 @@
|
||||
return `rgb(${getGradientR(c)}, ${getGradientG(c)}, ${getGradientB(c)})`
|
||||
}
|
||||
|
||||
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 drawPoints = (u, seriesIdx, idx0, idx1) => {
|
||||
@ -123,22 +224,6 @@
|
||||
return null;
|
||||
};
|
||||
|
||||
function guardedRange(u, min, max) {
|
||||
if (max == min) {
|
||||
if (min == null) {
|
||||
min = 0;
|
||||
max = 100;
|
||||
}
|
||||
else {
|
||||
let delta = Math.abs(max) || 100;
|
||||
max += delta;
|
||||
min -= delta;
|
||||
}
|
||||
}
|
||||
|
||||
return [min, max];
|
||||
}
|
||||
|
||||
function render() {
|
||||
const opts = {
|
||||
title: "",
|
||||
@ -146,8 +231,39 @@
|
||||
width: width,
|
||||
height: height,
|
||||
legend: {
|
||||
live: false,
|
||||
show: false
|
||||
},
|
||||
axes: [
|
||||
{
|
||||
label: 'Intensity [FLOPS/Byte]'
|
||||
},
|
||||
{
|
||||
label: 'Performace [GFLOPS]'
|
||||
}
|
||||
],
|
||||
scales: {
|
||||
x: {
|
||||
time: false,
|
||||
distr: 3,
|
||||
log: 10,
|
||||
},
|
||||
y: {
|
||||
distr: 3,
|
||||
log: 10,
|
||||
},
|
||||
},
|
||||
series: [
|
||||
{},
|
||||
{
|
||||
stroke: (u, seriesIdx) => {
|
||||
for (let i = 0; i < points; ++i) { return getRGB(data[2][i]) }
|
||||
},
|
||||
fill: (u, seriesIdx) => {
|
||||
for (let i = 0; i < points; ++i) { return getRGB(data[2][i]) }
|
||||
},
|
||||
paths: drawPoints,
|
||||
}
|
||||
],
|
||||
hooks: {
|
||||
drawClear: [
|
||||
u => {
|
||||
@ -157,48 +273,51 @@
|
||||
});
|
||||
},
|
||||
],
|
||||
},
|
||||
scales: {
|
||||
x: {
|
||||
time: false,
|
||||
// auto: false,
|
||||
// range: [0, 500],
|
||||
// remove any scale padding, use raw data limits
|
||||
range: guardedRange,
|
||||
},
|
||||
y: {
|
||||
// auto: false,
|
||||
// range: [0, 500],
|
||||
// remove any scale padding, use raw data limits
|
||||
range: guardedRange,
|
||||
},
|
||||
},
|
||||
series: [
|
||||
{
|
||||
/*
|
||||
stroke: "red",
|
||||
fill: "rgba(255,0,0,0.1)",
|
||||
paths: (u, seriesIdx, idx0, idx1) => {
|
||||
uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim) => {
|
||||
let d = u.data[seriesIdx];
|
||||
draw: [
|
||||
u => { // draw roofs
|
||||
u.ctx.strokeStyle = 'black'
|
||||
u.ctx.lineWidth = 2
|
||||
u.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)
|
||||
|
||||
console.log(d);
|
||||
});
|
||||
if (scalarKneeX < width - paddingRight) {
|
||||
u.ctx.moveTo(scalarKneeX, flopRateScalarY)
|
||||
u.ctx.lineTo(width - paddingRight, flopRateScalarY)
|
||||
}
|
||||
|
||||
return null;
|
||||
},
|
||||
*/
|
||||
},
|
||||
{
|
||||
stroke: (u, seriesIdx) => {
|
||||
for (let i = 0; i < points; ++i) { return getRGB(time[i]) }
|
||||
},
|
||||
fill: (u, seriesIdx) => {
|
||||
for (let i = 0; i < points; ++i) { return getRGB(time[i]) }
|
||||
},
|
||||
paths: drawPoints,
|
||||
}
|
||||
],
|
||||
if (simdKneeX < width - paddingRight) {
|
||||
u.ctx.moveTo(simdKneeX, flopRateSimdY)
|
||||
u.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
|
||||
}
|
||||
|
||||
u.ctx.moveTo(x1, y1)
|
||||
u.ctx.lineTo(x2, y2)
|
||||
}
|
||||
u.ctx.stroke()
|
||||
}
|
||||
]
|
||||
},
|
||||
};
|
||||
|
||||
uplot = new uPlot(opts, data, plotWrapper);
|
||||
|
||||
Loading…
Reference in New Issue
Block a user