<!-- GITHUB: https://github.com/munrocket/double.js -->
<div style="display: none">
<canvas id="withFloat" width="6" height="4"></canvas>
<canvas id="withDoubleJs_Static" width="6" height="4"></canvas>
<canvas id="withDoubleJs" width="6" height="4"></canvas>
<canvas id="withDecimalJs" width="6" height="4"></canvas>
<canvas id="withBigNumberJs" width="6" height="4"></canvas>
<canvas id="withBigJs" width="6" height="4"></canvas>
<canvas id="withBigFloat32" width="6" height="4"></canvas>
<canvas id="withBigFloat53" width="6" height="4"></canvas>
</div>
<canvas id="splitTest" width="400" height="200" style="padding-left: 40px"></canvas>
<canvas id="barChart" width="400" height="200" style="float:left"></canvas>
<p style="display: none; font-family: 'Open Sans', sans;">
All libraries except native float setted to precision with 31 decimal digits. <br/>
To increase DoubleJs_Static performance we used static methods and .sqr() insted of .mul() in some places. <br/>
To increase BigJs and BigNumberJs we used .round(31) and .dp(31) after each multiplication without this they become x1000 slower.<br/>
</p>
<script src="https://cdn.jsdelivr.net/npm/double.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/decimal.js/10.0.1/decimal.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/bignumber.js/7.2.1/bignumber.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/big.js/5.1.2/big.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/bigfloat@0.1.1/dist/umd/index.js"></script>
var maxIteration = 500, pixelId = 0;
var target = { x: -1.7490863748149414, y: -1e-25, dx: 3e-15, dy: 2e-15};
D = Double.Double;
var canvas = document.getElementById('withDoubleJs');
var buffer = canvas.getContext('2d').createImageData(canvas.width, canvas.height);
for (var j = 0; j < buffer.height; j++) {
for (var i = 0; i < buffer.width; i++) {
var iteration = 0;
var x = D.Zero, y = D.Zero;
var xx = D.Zero, xy = D.Zero, yy = D.Zero;
var tx = new D(target.x), ty = new D(target.y);
var tdx = new D(target.dx), tdy = new D(target.dy);
var cx = tx.sub(tdx).add(tdx.mul(2 * i).div(buffer.width));
var cy = ty.add(tdy).sub(tdy.mul(2 * j).div(buffer.height));
while (iteration++ < maxIteration && xx.add(yy).lt(4)) {
x = xx.sub(yy).add(cx);
y = xy.add(xy).add(cy);
xx = x.mul(x);
yy = y.mul(y);
xy = x.mul(y);
}
var color = (iteration == maxIteration) ? 0 : 256 * (maxIteration - (iteration * 25) % maxIteration) / maxIteration;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = 255;
}
}
Decimal.set({ precision: 31 });
var Dec = Decimal;
var canvas = document.getElementById('withDecimalJs');
var buffer = canvas.getContext('2d').createImageData(canvas.width, canvas.height);
for (var j = 0; j < buffer.height; j++) {
for (var i = 0; i < buffer.width; i++) {
var iteration = 0;
var x = new Dec(0), y = new Dec(0);
var xx = new Dec(0), xy = new Dec(0), yy = new Dec(0);
var tx = new Dec(target.x), ty = new Dec(target.y);
var tdx = new Dec(target.dx), tdy = new Dec(target.dy);
var cx = tx.sub(tdx).add(tdx.mul(2 * i).div(buffer.width));
var cy = ty.add(tdy).sub(tdy.mul(2 * j).div(buffer.height));
while (iteration++ < maxIteration && xx.add(yy).lt(4)) {
x = xx.sub(yy).add(cx);
y = xy.add(xy).add(cy);
xx = x.mul(x);
yy = y.mul(y);
xy = x.mul(y);
}
var color = (iteration == maxIteration) ? 0 : 256 * (maxIteration - (iteration * 25) % maxIteration) / maxIteration;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = 255;
}
}
BigNumber.set({ DECIMAL_PLACES: 31 });
var BN = BigNumber;
var canvas = document.getElementById('withBigNumberJs');
var buffer = canvas.getContext('2d').createImageData(canvas.width, canvas.height);
for (var j = 0; j < buffer.height; j++) {
for (var i = 0; i < buffer.width; i++) {
var iteration = 0;
var x = new BN(0), y = new BN(0);
var xx = new BN(0), xy = new BN(0), yy = new BN(0);
var tx = new BN(target.x), ty = new BN(target.y);
var tdx = new BN(target.dx), tdy = new BN(target.dy);
var cx = tx.minus(tdx).plus(tdx.times(2 * i).div(buffer.width)).dp(31);
var cy = ty.plus(tdy).minus(tdy.times(2 * j).div(buffer.height)).dp(31);
while (iteration++ < maxIteration && xx.plus(yy).lt(4)) {
x = xx.minus(yy).plus(cx);
y = xy.plus(xy).plus(cy);
xx = x.times(x).dp(31);
yy = y.times(y).dp(31);
xy = x.times(y).dp(31);
}
var color = (iteration == maxIteration) ? 0 : 256 * (maxIteration - (iteration * 25) % maxIteration) / maxIteration;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = 255;
}
}
Big.DP = 31;
var canvas = document.getElementById('withBigJs');
var buffer = canvas.getContext('2d').createImageData(canvas.width, canvas.height);
for (var j = 0; j < buffer.height; j++) {
for (var i = 0; i < buffer.width; i++) {
var iteration = 0;
var x = new Big(0), y = new Big(0);
var xx = new Big(0), xy = new Big(0), yy = new Big(0);
var tx = new Big(target.x), ty = new Big(target.y);
var tdx = new Big(target.dx), tdy = new Big(target.dy);
var cx = tx.sub(tdx).add(tdx.mul(2 * i).div(buffer.width)).round(31);
var cy = ty.add(tdy).sub(tdy.mul(2 * j).div(buffer.height)).round(31);
while (iteration++ < maxIteration && xx.add(yy).lt(4)) {
x = xx.sub(yy).add(cx);
y = xy.add(xy).add(cy);
xx = x.mul(x).round(31);
yy = y.mul(y).round(31);
xy = x.mul(y).round(31);
}
var color = (iteration == maxIteration) ? 0 : 256 * (maxIteration - (iteration * 25) % maxIteration) / maxIteration;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = 255;
}
}
BF = bigfloat.BigFloat32;
var canvas = document.getElementById('withBigFloat32');
var buffer = canvas.getContext('2d').createImageData(canvas.width, canvas.height);
for (var j = 0; j < buffer.height; j++) {
for (var i = 0; i < buffer.width; i++) {
var iteration = 0;
var x = new Big(0), y = new Big(0);
var xx = new Big(0), xy = new Big(0), yy = new Big(0);
var tx = new Big(target.x), ty = new Big(target.y);
var tdx = new Big(target.dx), tdy = new Big(target.dy);
var cx = tx.sub(tdx).add(tdx.mul(2 * i).div(buffer.width)).round(31);
var cy = ty.add(tdy).sub(tdy.mul(2 * j).div(buffer.height)).round(31);
while (iteration++ < maxIteration && xx.add(yy).cmp(4) < 0) {
x = xx.sub(yy).add(cx);
y = xy.add(xy).add(cy);
xx = x.mul(x).round(31);
yy = y.mul(y).round(31);
xy = x.mul(y).round(31);
}
var color = (iteration == maxIteration) ? 0 : 256 * (maxIteration - (iteration * 25) % maxIteration) / maxIteration;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = color;
buffer.data[pixelId++] = 255;
}
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
double.js | |
decimal.js | |
bignumber.js | |
Big.js | |
bigfloat.js BF32 |
Test name | Executions per second |
---|---|
double.js | 0.0 Ops/sec |
decimal.js | 10.5 Ops/sec |
bignumber.js | 18.4 Ops/sec |
Big.js | 11.1 Ops/sec |
bigfloat.js BF32 | 10.7 Ops/sec |
A benchmarking summary!
Let's dive into the results:
Top Performers:
Underperformers:
Other Results:
Keep in mind that these results are just a snapshot, and actual performance may vary depending on the specific use case, system configuration, and other factors.