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Added some performance tests

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Thorsten Sommer 2020-11-01 14:04:57 +01:00
parent 3f4c79a23d
commit 9c7e4664ce
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1
FastRngTests/FastRngTests.csproj
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</PropertyGroup>
<ItemGroup>
<PackageReference Include="MathNet.Numerics" Version="4.12.0" />
<PackageReference Include="NUnit" Version="3.12.0" />
<PackageReference Include="NUnit3TestAdapter" Version="3.16.1" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.5.0" />

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FastRngTests/Float/PerformanceTests.cs Normal file
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using System;
using System.Diagnostics;
using System.Diagnostics.CodeAnalysis;
using System.Threading;
using System.Threading.Tasks;
using FastRng.Float;
using FastRng.Float.Distributions;
using MathNet.Numerics.Distributions;
using MathNet.Numerics.Random;
using NUnit.Framework;
namespace FastRngTests.Float
{
[ExcludeFromCodeCoverage]
public class PerformanceTests
{
#region FastRng
[Test]
[Category(TestCategories.PERFORMANCE)]
public async Task Generate1MUniform()
{
var rng = new MultiThreadedRng();
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = await rng.GetUniform();
stopwatch.Stop();
rng.StopProducer();
TestContext.WriteLine($"Generated 1M uniform distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
[Test]
[Category(TestCategories.PERFORMANCE)]
public async Task Generate1MNormal()
{
var rng = new MultiThreadedRng();
var dist = new NormalS02M05();
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = await rng.NextNumber(dist);
stopwatch.Stop();
rng.StopProducer();
TestContext.WriteLine($"Generated 1M normal distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
[Test]
[Category(TestCategories.PERFORMANCE)]
public async Task Generate1MChiSquare()
{
var rng = new MultiThreadedRng();
var dist = new ChiSquareK4();
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = await rng.NextNumber(dist);
stopwatch.Stop();
rng.StopProducer();
TestContext.WriteLine($"Generated 1M chi-square distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
#endregion
#region Math.NET
[Test]
[Category(TestCategories.PERFORMANCE)]
public void ComparisonMathNet1MUniform()
{
var rng = new Xorshift(true);
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = (float) rng.NextDouble();
stopwatch.Stop();
TestContext.WriteLine($"Generated 1M uniform distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
[Test]
[Category(TestCategories.PERFORMANCE)]
public void ComparisonMathNet1MNormal()
{
var rng = new Xorshift(true);
var dist = new Normal(stddev: 0.2f, mean: 0.5f, randomSource: rng);
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = (float) dist.Sample();
stopwatch.Stop();
TestContext.WriteLine($"Generated 1M normal distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
[Test]
[Category(TestCategories.PERFORMANCE)]
public void ComparisonMathNet1MChiSquare()
{
var rng = new Xorshift(true);
var dist = new ChiSquared(4);
var data = new float[1_000_000];
var stopwatch = new Stopwatch();
Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator
stopwatch.Start();
for (uint n = 0; n < data.Length; n++)
data[n] = (float) dist.Sample();
stopwatch.Stop();
TestContext.WriteLine($"Generated 1M chi-squared distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds.");
}
#endregion
}
}