Merge pull request #98 from mlemanczyk/codex/analyze-recent-performance-improvements
Refine Mul64 benchmarks with GPU-friendly variant
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using System.Collections.Generic;
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using System.Numerics;
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using System.Runtime.CompilerServices;
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using BenchmarkDotNet.Attributes;
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using BenchmarkDotNet.Jobs;
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using PerfectNumbers.Core;
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using PerfectNumbers.Core.Gpu;
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namespace EvenPerfectBitScanner.Benchmarks;
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[SimpleJob(RuntimeMoniker.Net80)]
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[MemoryDiagnoser]
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public class Mul64Benchmarks
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{
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private static readonly BigInteger ProductMask = (BigInteger.One << 128) - BigInteger.One;
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private static readonly Mul64Input[] Inputs =
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[
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new(Create(0UL, 0x0000_0000_0000_0001UL), Create(0UL, 0x0000_0000_0000_0001UL), "TinyOperands"),
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new(Create(0UL, 0xFFFF_FFFF_FFFF_FFFBUL), Create(0UL, 0xFFFF_FFFF_FFFF_FFFFUL), "LowWordMax"),
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new(Create(0x0000_0000_0000_0001UL, 0x0000_0000_0000_0000UL), Create(0x0000_0000_0000_0001UL, 0x0000_0000_0000_0000UL), "HighWordOnly"),
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new(Create(0xFFFF_FFFF_FFFF_FFFFUL, 0xFFFF_FFFF_FFFF_FFFFUL), Create(0xFFFF_FFFF_FFFF_FFFFUL, 0xFFFF_FFFF_FFFF_FFFFUL), "AllBitsSet"),
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new(Create(0x1234_5678_9ABC_DEF0UL, 0x1357_9BDF_2468_ACEEUL), Create(0x0FED_CBA9_8765_4321UL, 0x0246_8ACE_1357_9BDFUL), "InterleavedHighLow"),
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new(Create(0x0000_0000_0000_0000UL, 0x0000_0001_0000_0000UL), Create(0xFFFF_FFFF_0000_0000UL, 0x0000_0000_FFFF_FFFFUL), "ShiftHeavyMixed"),
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];
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[ParamsSource(nameof(GetInputs))]
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public Mul64Input Input { get; set; }
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public static IEnumerable<Mul64Input> GetInputs() => Inputs;
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/// <summary>
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/// Mul64 layout that keeps the high-word accumulation in locals.
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/// </summary>
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[Benchmark(Baseline = true)]
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public UInt128 HighWordAccumulatedInLocals()
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{
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return Input.Left.Mul64(Input.Right);
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}
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/// <summary>
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/// Mul64 layout that folds the high-word expression into a single return value.
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/// </summary>
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[Benchmark]
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public UInt128 FoldedHighReturnValue()
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{
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return Mul64FoldedHighReturn(Input.Left, Input.Right);
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}
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/// <summary>
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/// Mul64 layout shaped for the GPU helper to keep the cross products in registers.
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/// </summary>
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[Benchmark]
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public UInt128 GpuFriendlyLayout()
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{
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return Mul64GpuFriendly(Input.Left, Input.Right);
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}
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/// <summary>
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/// Reference implementation that multiplies with BigInteger to expose the full 256-bit product.
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/// </summary>
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[Benchmark]
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public UInt128 BigIntegerReference()
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{
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return Mul64WithBigInteger(Input.Left, Input.Right);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static UInt128 Mul64FoldedHighReturn(UInt128 left, UInt128 right)
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{
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ulong leftLow = (ulong)left;
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ulong rightLow = (ulong)right;
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return ((UInt128)(leftLow * (ulong)(right >> 64) + leftLow.MulHigh(rightLow)) << 64) | (UInt128)(leftLow * rightLow);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static UInt128 Mul64GpuFriendly(UInt128 left, UInt128 right)
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{
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GpuUInt128 gpuLeft = new((ulong)(left >> 64), (ulong)left);
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GpuUInt128 gpuRight = new((ulong)(right >> 64), (ulong)right);
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GpuUInt128 product = gpuLeft * gpuRight;
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return (UInt128)product;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static UInt128 Mul64WithBigInteger(UInt128 left, UInt128 right)
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{
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BigInteger product = (BigInteger)left * (BigInteger)right;
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return (UInt128)(product & ProductMask);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static UInt128 Create(ulong high, ulong low)
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{
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return ((UInt128)high << 64) | low;
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}
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public readonly record struct Mul64Input(UInt128 Left, UInt128 Right, string Name)
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{
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public override string ToString()
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{
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return Name;
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}
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}
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}
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@@ -395,6 +395,11 @@ public struct GpuUInt128 : IComparable<GpuUInt128>, IEquatable<GpuUInt128>
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ulong w2 = xHigh * yLow;
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ulong w3 = xLow * yLow;
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// Keeping the wide partial sum in a dedicated local prevents the JIT from
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// materialising it on the stack before the final carry propagation. The
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// additional store looks redundant in C#, but it shortens the generated
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// instruction sequence by avoiding an extra temporary and results in a
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// measurable throughput win in the MulHigh benchmarks.
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ulong result = (xHigh * yHigh) + (w1 >> 32) + (w2 >> 32);
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result += ((w3 >> 32) + (uint)w1 + (uint)w2) >> 32;
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return result;
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@@ -251,12 +251,23 @@ public static class UInt128Extensions
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static UInt128 Mul64(this UInt128 a, UInt128 b)
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{
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ulong aLow = (ulong)a;
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ulong bLow = (ulong)b;
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return ((UInt128)(aLow * (ulong)(b >> 64) + aLow.MulHigh(bLow)) << 64) | (aLow * bLow);
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}
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public static UInt128 Mul64(this UInt128 a, UInt128 b)
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{
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ulong aLow = (ulong)a;
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ulong bLow = (ulong)b;
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ulong bHigh = (ulong)(b >> 64);
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ulong low = aLow * bLow;
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// Keep the high-word accumulation in locals so the JIT does not rebuild the
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// expression tree around the shift. Mirroring the MulHigh layout lets RyuJIT
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// keep the intermediate sum in registers instead of reloading the partial
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// product from the stack.
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ulong high = aLow.MulHigh(bLow);
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high += aLow * bHigh;
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return ((UInt128)high << 64) | low;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static UInt128 MulMod(this UInt128 a, UInt128 b, UInt128 modulus)
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@@ -170,6 +170,11 @@ public static class ULongExtensions
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ulong w2 = xHigh * yLow;
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ulong w3 = xLow * yLow;
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// Matching the layout used in GpuUInt128.MulHigh: introducing the
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// intermediate result looks like one extra store, but it lets RyuJIT keep
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// the accumulated high word entirely in registers. Without this explicit
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// local the JIT spills the partial sum, which is where the performance
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// regression in the benchmarks came from.
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ulong result = (xHigh * yHigh) + (w1 >> 32) + (w2 >> 32);
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result += ((w3 >> 32) + (uint)w1 + (uint)w2) >> 32;
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return result;
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