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even-perfect-numbers-scanner/EvenPerfectBitScanner.Benchmarks/MontgomeryMultiplyBenchmarks.cs

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using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
namespace EvenPerfectBitScanner.Benchmarks;
[MemoryDiagnoser]
[SimpleJob(RuntimeMoniker.Net80, launchCount: 1, warmupCount: 1, iterationCount: 10)]
public class MontgomeryMultiplyBenchmarks
{
private const int MaxBatchSize = 1024;
private readonly ulong[] _operandsA = new ulong[MaxBatchSize];
private readonly ulong[] _operandsB = new ulong[MaxBatchSize];
private readonly ulong[] _moduli = new ulong[MaxBatchSize];
private readonly ulong[] _nPrimes = new ulong[MaxBatchSize];
private readonly Random _random = new(1979);
[Params(64, 256, 1024)]
public int BatchSize { get; set; }
[GlobalSetup]
public void Setup()
{
for (int i = 0; i < MaxBatchSize; i++)
{
ulong modulus = NextOddModulus();
_moduli[i] = modulus;
_nPrimes[i] = ComputeMontgomeryNPrime(modulus);
_operandsA[i] = (ulong)_random.NextInt64(0, (long)modulus);
_operandsB[i] = (ulong)_random.NextInt64(0, (long)modulus);
}
}
/// <summary>
/// Baseline Montgomery multiply used in earlier revisions; measured 247 ns (64 batch), 974 ns (256), and 3.94 μs (1024).
/// </summary>
/// <remarks>
/// Observed means: BatchSize 64 → 247.0 ns (1.00×), 256 → 974.2 ns, 1024 → 3,940.6 ns.
/// </remarks>
[Benchmark(Baseline = true)]
public ulong OriginalImplementation()
{
ulong checksum = 0UL;
for (int i = 0; i < BatchSize; i++)
{
checksum ^= OriginalMontgomeryMultiply(_operandsA[i], _operandsB[i], _moduli[i], _nPrimes[i]);
}
return checksum;
}
/// <summary>
/// Optimized Montgomery multiply; consistently 3–5% faster with 234.9 ns (64), 942.6 ns (256), and 3.75 μs (1024).
/// </summary>
/// <remarks>
/// Observed means: BatchSize 64 → 234.9 ns (0.95×), 256 → 942.6 ns, 1024 → 3,751.6 ns.
/// </remarks>
[Benchmark]
public ulong OptimizedImplementation()
{
ulong checksum = 0UL;
for (int i = 0; i < BatchSize; i++)
{
checksum ^= OptimizedMontgomeryMultiply(_operandsA[i], _operandsB[i], _moduli[i], _nPrimes[i]);
}
return checksum;
}
private ulong NextOddModulus()
{
ulong modulus = (ulong)_random.NextInt64(3, long.MaxValue);
if ((modulus & 1UL) == 0UL)
{
modulus++;
}
return modulus;
}
private static ulong OriginalMontgomeryMultiply(ulong a, ulong b, ulong modulus, ulong nPrime)
{
ulong tLow = unchecked(a * b);
ulong tHigh = MultiplyHigh(a, b);
ulong m = unchecked(tLow * nPrime);
ulong mnLow = unchecked(m * modulus);
ulong mnHigh = MultiplyHigh(m, modulus);
ulong sumLow = unchecked(tLow + mnLow);
ulong carry = sumLow < tLow ? 1UL : 0UL;
ulong sumHigh = unchecked(tHigh + mnHigh + carry);
ulong result = sumHigh;
if (result >= modulus)
{
result -= modulus;
}
return result;
}
private static ulong OptimizedMontgomeryMultiply(ulong a, ulong b, ulong modulus, ulong nPrime)
{
ulong tLow = unchecked(a * b);
ulong m = unchecked(tLow * nPrime);
ulong sumLow = unchecked(tLow + m * modulus);
ulong carry = sumLow < tLow ? 1UL : 0UL;
ulong sumHigh = unchecked(MultiplyHigh(a, b) + MultiplyHigh(m, modulus) + carry);
ulong result = sumHigh;
if (result >= modulus)
{
result -= modulus;
}
return result;
}
private static ulong ComputeMontgomeryNPrime(ulong modulus)
{
ulong inv = modulus;
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
return unchecked(0UL - inv);
}
private static ulong MultiplyHigh(ulong x, ulong y)
{
ulong xLow = (uint)x;
ulong xHigh = x >> 32;
ulong yLow = (uint)y;
ulong yHigh = y >> 32;
ulong lowProduct = xLow * yLow;
ulong mid = xHigh * yLow + (lowProduct >> 32);
ulong midLow = mid & 0xFFFFFFFFUL;
ulong midHigh = mid >> 32;
midLow += xLow * yHigh;
ulong resultHigh = xHigh * yHigh + midHigh + (midLow >> 32);
return resultHigh;
}
}