Refactor and optimize TBar, TBarSeries, and TSeries notebooks; remove obsolete code

- Enhanced Alma class by simplifying the CalculateWeightedSum method and removing unnecessary comments.
- Removed SIMD-related methods from Conv class, replacing them with optimized DotProduct calls.
- Updated Sma and Wma classes to use source.ContainsNonFinite() for non-finite value checks, improving readability and performance.
This commit is contained in:
Miha Kralj
2025-12-10 15:03:58 -05:00
parent b26d5d7751
commit 47884bddab
9 changed files with 371 additions and 668 deletions
+325
View File
@@ -1,5 +1,9 @@
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.Arm;
using System.Runtime.Intrinsics.X86;
namespace QuanTAlib;
@@ -376,4 +380,325 @@ public static class SimdExtensions
return MinMaxScalar(span);
}
/// <summary>
/// Calculates the dot product of two spans using SIMD intrinsics.
/// Supports AVX512, AVX2, SSE2, and NEON.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static double DotProduct(this ReadOnlySpan<double> a, ReadOnlySpan<double> b)
{
if (a.Length != b.Length || a.Length == 0) return 0;
int len = a.Length;
// Fast path for very small kernels (avoid SIMD overhead)
if (len <= 3)
{
ref double aRef = ref MemoryMarshal.GetReference(a);
ref double bRef = ref MemoryMarshal.GetReference(b);
double sum = aRef * bRef;
if (len > 1) sum += Unsafe.Add(ref aRef, 1) * Unsafe.Add(ref bRef, 1);
if (len > 2) sum += Unsafe.Add(ref aRef, 2) * Unsafe.Add(ref bRef, 2);
return sum;
}
if (Avx512F.IsSupported)
return DotProductAvx512(a, b);
if (Avx2.IsSupported)
return DotProductAvx2(a, b);
if (Sse2.IsSupported)
return DotProductSse2(a, b);
if (AdvSimd.Arm64.IsSupported)
return DotProductNeon(a, b);
double s = 0;
ref double ar = ref MemoryMarshal.GetReference(a);
ref double br = ref MemoryMarshal.GetReference(b);
int i = 0;
// Unroll scalar loop
for (; i <= len - 4; i += 4)
{
s += Unsafe.Add(ref ar, i) * Unsafe.Add(ref br, i);
s += Unsafe.Add(ref ar, i + 1) * Unsafe.Add(ref br, i + 1);
s += Unsafe.Add(ref ar, i + 2) * Unsafe.Add(ref br, i + 2);
s += Unsafe.Add(ref ar, i + 3) * Unsafe.Add(ref br, i + 3);
}
for (; i < len; i++)
{
s += Unsafe.Add(ref ar, i) * Unsafe.Add(ref br, i);
}
return s;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static double DotProductAvx512(ReadOnlySpan<double> a, ReadOnlySpan<double> b)
{
int len = a.Length;
int i = 0;
Vector512<double> vSum = Vector512<double>.Zero;
Vector512<double> vSum2 = Vector512<double>.Zero;
Vector512<double> vSum3 = Vector512<double>.Zero;
Vector512<double> vSum4 = Vector512<double>.Zero;
ref double aRef = ref MemoryMarshal.GetReference(a);
ref double bRef = ref MemoryMarshal.GetReference(b);
// Unroll loop: Process 32 doubles (4 vectors) at a time
if (len >= 32)
{
for (; i <= len - 32; i += 32)
{
var va1 = Vector512.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb1 = Vector512.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
var va2 = Vector512.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 8));
var vb2 = Vector512.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 8));
var va3 = Vector512.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 16));
var vb3 = Vector512.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 16));
var va4 = Vector512.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 24));
var vb4 = Vector512.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 24));
vSum = Avx512F.FusedMultiplyAdd(va1, vb1, vSum);
vSum2 = Avx512F.FusedMultiplyAdd(va2, vb2, vSum2);
vSum3 = Avx512F.FusedMultiplyAdd(va3, vb3, vSum3);
vSum4 = Avx512F.FusedMultiplyAdd(va4, vb4, vSum4);
}
}
// Process remaining vectors (8 doubles at a time)
for (; i <= len - 8; i += 8)
{
var va = Vector512.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb = Vector512.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
vSum = Avx512F.FusedMultiplyAdd(va, vb, vSum);
}
// Combine accumulators
vSum = Avx512F.Add(vSum, vSum2);
vSum3 = Avx512F.Add(vSum3, vSum4);
vSum = Avx512F.Add(vSum, vSum3);
// Horizontal sum - reduce to Vector256, then Vector128
Vector256<double> v256 = Avx512F.Add(vSum.GetLower(), vSum.GetUpper());
Vector128<double> lower = v256.GetLower();
Vector128<double> upper = v256.GetUpper();
Vector128<double> combined = Sse2.Add(lower, upper);
double sum = combined.GetElement(0) + combined.GetElement(1);
// Scalar remainder
for (; i < len; i++)
{
sum += Unsafe.Add(ref aRef, i) * Unsafe.Add(ref bRef, i);
}
return sum;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static double DotProductAvx2(ReadOnlySpan<double> a, ReadOnlySpan<double> b)
{
int len = a.Length;
int i = 0;
Vector256<double> vSum = Vector256<double>.Zero;
Vector256<double> vSum2 = Vector256<double>.Zero;
Vector256<double> vSum3 = Vector256<double>.Zero;
Vector256<double> vSum4 = Vector256<double>.Zero;
ref double aRef = ref MemoryMarshal.GetReference(a);
ref double bRef = ref MemoryMarshal.GetReference(b);
// Unroll loop: Process 16 doubles (4 vectors) at a time
if (len >= 16)
{
for (; i <= len - 16; i += 16)
{
var va1 = Vector256.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb1 = Vector256.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
var va2 = Vector256.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 4));
var vb2 = Vector256.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 4));
var va3 = Vector256.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 8));
var vb3 = Vector256.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 8));
var va4 = Vector256.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 12));
var vb4 = Vector256.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 12));
if (Fma.IsSupported)
{
vSum = Fma.MultiplyAdd(va1, vb1, vSum);
vSum2 = Fma.MultiplyAdd(va2, vb2, vSum2);
vSum3 = Fma.MultiplyAdd(va3, vb3, vSum3);
vSum4 = Fma.MultiplyAdd(va4, vb4, vSum4);
}
else
{
vSum = Avx.Add(vSum, Avx.Multiply(va1, vb1));
vSum2 = Avx.Add(vSum2, Avx.Multiply(va2, vb2));
vSum3 = Avx.Add(vSum3, Avx.Multiply(va3, vb3));
vSum4 = Avx.Add(vSum4, Avx.Multiply(va4, vb4));
}
}
}
// Process remaining vectors (4 doubles at a time)
for (; i <= len - 4; i += 4)
{
var va = Vector256.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb = Vector256.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
vSum = Fma.IsSupported
? Fma.MultiplyAdd(va, vb, vSum)
: Avx.Add(vSum, Avx.Multiply(va, vb));
}
// Combine accumulators
vSum = Avx.Add(vSum, vSum2);
vSum3 = Avx.Add(vSum3, vSum4);
vSum = Avx.Add(vSum, vSum3);
// Horizontal sum
Vector128<double> lower = vSum.GetLower();
Vector128<double> upper = vSum.GetUpper();
Vector128<double> combined = Sse2.Add(lower, upper);
double sum = combined.GetElement(0) + combined.GetElement(1);
// Process remaining elements (scalar)
for (; i < len; i++)
{
sum += Unsafe.Add(ref aRef, i) * Unsafe.Add(ref bRef, i);
}
return sum;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static double DotProductNeon(ReadOnlySpan<double> a, ReadOnlySpan<double> b)
{
int len = a.Length;
int i = 0;
Vector128<double> vSum = Vector128<double>.Zero;
Vector128<double> vSum2 = Vector128<double>.Zero;
Vector128<double> vSum3 = Vector128<double>.Zero;
Vector128<double> vSum4 = Vector128<double>.Zero;
ref double aRef = ref MemoryMarshal.GetReference(a);
ref double bRef = ref MemoryMarshal.GetReference(b);
// Unroll loop: Process 8 doubles (4 vectors) at a time
if (len >= 8)
{
for (; i <= len - 8; i += 8)
{
var va1 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb1 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
var va2 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 2));
var vb2 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 2));
var va3 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 4));
var vb3 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 4));
var va4 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 6));
var vb4 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 6));
// NEON has FMA on ARM64
// Since we are inside DotProductNeon which is guarded by AdvSimd.Arm64.IsSupported,
// we can assume Arm64 support.
vSum = AdvSimd.Arm64.FusedMultiplyAdd(vSum, va1, vb1);
vSum2 = AdvSimd.Arm64.FusedMultiplyAdd(vSum2, va2, vb2);
vSum3 = AdvSimd.Arm64.FusedMultiplyAdd(vSum3, va3, vb3);
vSum4 = AdvSimd.Arm64.FusedMultiplyAdd(vSum4, va4, vb4);
}
}
// Process remaining vectors (2 doubles at a time)
for (; i <= len - 2; i += 2)
{
var va = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
vSum = AdvSimd.Arm64.FusedMultiplyAdd(vSum, va, vb);
}
// Combine accumulators
vSum = AdvSimd.Arm64.Add(vSum, vSum2);
vSum3 = AdvSimd.Arm64.Add(vSum3, vSum4);
vSum = AdvSimd.Arm64.Add(vSum, vSum3);
// Horizontal sum (NEON has pairwise add)
double sum = AdvSimd.Arm64.AddPairwiseScalar(vSum).ToScalar();
// Scalar remainder (0-1 elements)
for (; i < len; i++)
{
sum += Unsafe.Add(ref aRef, i) * Unsafe.Add(ref bRef, i);
}
return sum;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static double DotProductSse2(ReadOnlySpan<double> a, ReadOnlySpan<double> b)
{
int len = a.Length;
int i = 0;
Vector128<double> vSum = Vector128<double>.Zero;
Vector128<double> vSum2 = Vector128<double>.Zero;
ref double aRef = ref MemoryMarshal.GetReference(a);
ref double bRef = ref MemoryMarshal.GetReference(b);
// Process 4 doubles at a time using 2 accumulators
for (; i <= len - 4; i += 4)
{
var va1 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb1 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
var va2 = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i + 2));
var vb2 = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i + 2));
if (Fma.IsSupported)
{
vSum = Fma.MultiplyAdd(va1, vb1, vSum);
vSum2 = Fma.MultiplyAdd(va2, vb2, vSum2);
}
else
{
vSum = Sse2.Add(vSum, Sse2.Multiply(va1, vb1));
vSum2 = Sse2.Add(vSum2, Sse2.Multiply(va2, vb2));
}
}
// Process remaining 2 doubles if available
if (i <= len - 2)
{
var va = Vector128.LoadUnsafe(ref Unsafe.Add(ref aRef, i));
var vb = Vector128.LoadUnsafe(ref Unsafe.Add(ref bRef, i));
vSum = Fma.IsSupported
? Fma.MultiplyAdd(va, vb, vSum)
: Sse2.Add(vSum, Sse2.Multiply(va, vb));
i += 2;
}
vSum = Sse2.Add(vSum, vSum2);
double sum = vSum.GetElement(0) + vSum.GetElement(1);
// Scalar remainder (0-1 elements)
for (; i < len; i++)
{
sum += Unsafe.Add(ref aRef, i) * Unsafe.Add(ref bRef, i);
}
return sum;
}
}