xoofx

(Note to run within a checkout of SharpYaml repo) I would like you to benchmark the usage of https://github.com/mrpmorris/Roslynk

You will:

• Install the tool https://github.com/mrpmorris/Roslynk
• Install the their skills in the project and add a MCP configuration for using it.
• Commit the changes on main
• You will then create 2 sessions that will review the PR xoofx/SharpYaml#170 with their own worktrees:
• One session will use Roslynk

xoofx

// Comment about https://mastodon.social/@brandewinder@hachyderm.io/113064780292323247
// https://brandewinder.com/2024/09/01/should-i-use-simd-vectors/
using System.Numerics;
using System.Runtime.InteropServices;
using System.Runtime.Intrinsics;

public class VectorProcessor
{
    public static float Take2(float[] left, float[] right)
    {

xoofx

// From a discussion on mastodon https://mastodon.social/@antonz@c.im/112620103070756332
// This version:
// * simplifies the setup (an inline array is already a Span)
// * uses BinaryPrimitives.ReverseEndianness to batch writing the long to the buffer
// * uses SkipLocalsInit on the ctor to avoid some zero init
// Should be ~ 15% faster than the revised version with Span
// Anyway most of the time is spent in DateTimeOffset.UtcNow and RandomNumberGenerator.Fill
using System.Buffers.Binary;
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;

xoofx

xoofx

<#@ template debug="false" hostspecific="false" language="C#" #>
<#@ assembly name="System.Core" #>
<#@ import namespace="System.Linq" #>
<#@ import namespace="System.Text" #>
<#@ import namespace="System.Collections.Generic" #>
<#@ output extension=".txt" #>
<#
    var vectors = new [] { "Vector64", "Vector128", "Vector256", "Vector512", "Vector", "Vector2", "Vector3", "Vector4" };
    var templates = new string[0];
    string genT;

xoofx

Commit https://github.com/nietras/Sep/tree/46d20139bf2e1f9ca01933ff9ca728873fe790cc

BenchmarkDotNet=v0.13.5, OS=Windows 11 (10.0.22621.819/22H2/2022Update/SunValley2)
AMD Ryzen 7 7840HS w/ Radeon 780M Graphics, 1 CPU, 16 logical and 8 physical cores
.NET SDK=8.0.100-preview.7.23376.3
  [Host]     : .NET 8.0.0 (8.0.23.37506), X64 RyuJIT AVX2
  Job-WASKMK : .NET 7.0.10 (7.0.1023.36312), X64 RyuJIT AVX2
 Job-PLCXMZ : .NET 8.0.0 (8.0.23.37506), X64 RyuJIT AVX2

xoofx

// Discussion about https://mastodon.social/@denisio@dotnet.social/110644302160625267
// Optimized version using AVX. From 4x to 10x faster than a simple version.
//    - nint for indexing
//    - Unsafe.Add
//    - Unrolling of 4 Vector256 + Or of the results to have only 1 branch per loop
//    - Finding the local index within the Vector256 without a loop using AVX movemask
// Similar code can be done for Vector128
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;

xoofx

Commit c6a06151caca9a318891e583f6341b1a707ee408

BenchmarkDotNet=v0.13.5, OS=Windows 11 (10.0.22621.1702/22H2/2022Update/SunValley2)
Snapdragon Compute Platform, 1 CPU, 8 logical and 8 physical cores
.NET SDK=7.0.302
  [Host]     : .NET 7.0.5 (7.0.523.17405), Arm64 RyuJIT AdvSIMD
  Job-BBZNUX : .NET 7.0.5 (7.0.523.17405), Arm64 RyuJIT AdvSIMD
 Job-IJWXNS : .NET 7.0.5 (7.0.523.17405), Arm64 RyuJIT AdvSIMD

xoofx

using BenchmarkDotNet.Attributes;
using System.Runtime.CompilerServices;
/// <summary>
/// Small benchmark to decide until which size I can use FNV-1A vs System.HashCode.
///
/// Verdict: If the size is lower than 28, FNV-1A is better on .NET 7 
/// On .NET 6, it's more above 64 bytes.
///
/// BenchmarkDotNet=v0.13.2, OS=Windows 11 (10.0.22000.1098/21H2)
/// AMD Ryzen 9 5950X, 1 CPU, 32 logical and 16 physical cores

xoofx

// Bench Windows Terminal with a wall of 24-bits RGB ANSI scrolling chars
using System.Diagnostics;
using System.Runtime.InteropServices;
using System.Text;

var width = Console.WindowWidth;
var height = Console.WindowHeight;
var total = width * height;

if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows))