alot more changes here added some matrix functions
most of the point3 and point4 is now converted over to simd functions
matrix now has a lot done by simd but transpose/normal/affine inverse/ inverse still to do
This commit is contained in:
marauder2k7 2026-02-25 20:36:53 +00:00
parent 8908bbe462
commit fb986e375d
5 changed files with 336 additions and 44 deletions

View file

@ -237,3 +237,193 @@ float math_backend::float4::dot(const float* a, const float* b)
return a[0]*b[0] + a[1]*b[1] + a[2]*b[2] + a[3]*b[3];
}
void math_backend::float3::add(const float* a, const float* b, float* r)
{
// Pad 3 floats into 4 for SIMD
float va[4] = { a[0], a[1], a[2], 0.0f };
float vb[4] = { b[0], b[1], b[2], 0.0f };
float vr[4];
float4::add(va, vb, vr);
r[0] = vr[0];
r[1] = vr[1];
r[2] = vr[2];
}
void math_backend::float3::sub(const float* a, const float* b, float* r)
{
// Pad 3 floats into 4 for SIMD
float va[4] = { a[0], a[1], a[2], 0.0f };
float vb[4] = { b[0], b[1], b[2], 0.0f };
float vr[4];
float4::sub(va, vb, vr);
r[0] = vr[0];
r[1] = vr[1];
r[2] = vr[2];
}
void math_backend::float3::mul(const float* a, const float* b, float* r)
{
// Pad 3 floats into 4 for SIMD
float va[4] = { a[0], a[1], a[2], 0.0f };
float vb[4] = { b[0], b[1], b[2], 0.0f };
float vr[4];
float4::mul(va, vb, vr);
r[0] = vr[0];
r[1] = vr[1];
r[2] = vr[2];
}
void math_backend::float3::mul_scalar(const float* a, float s, float* r)
{
float va[4] = { a[0], a[1], a[2], 0.0f };
float vr[4];
float4::mul_scalar(va, s, vr);
r[0] = vr[0];
r[1] = vr[1];
r[2] = vr[2];
}
float math_backend::float3::dot(const float* a, const float* b)
{
float va[4] = { a[0], a[1], a[2], 0.0f };
float vb[4] = { b[0], b[1], b[2], 0.0f };
return float4::dot(va, vb);
}
void math_backend::float_mat4x4::multiply_mat4(const float* A, const float* B, float* R)
{
__m128 b0 = _mm_loadu_ps(B + 0);
__m128 b1 = _mm_loadu_ps(B + 4);
__m128 b2 = _mm_loadu_ps(B + 8);
__m128 b3 = _mm_loadu_ps(B + 12);
for (int i = 0; i < 4; i++)
{
__m128 a = _mm_loadu_ps(A + i * 4);
__m128 r =
_mm_mul_ps(_mm_shuffle_ps(a, a, _MM_SHUFFLE(0, 0, 0, 0)), b0);
r = _mm_add_ps(r, _mm_mul_ps(_mm_shuffle_ps(a, a, _MM_SHUFFLE(1, 1, 1, 1)), b1));
r = _mm_add_ps(r, _mm_mul_ps(_mm_shuffle_ps(a, a, _MM_SHUFFLE(2, 2, 2, 2)), b2));
r = _mm_add_ps(r, _mm_mul_ps(_mm_shuffle_ps(a, a, _MM_SHUFFLE(3, 3, 3, 3)), b3));
_mm_storeu_ps(R + i * 4, r);
}
}
void math_backend::float_mat4x4::multiply_float4(const float* M, const float* P, float* R)
{
#if TORQUE_MATH_x64
switch (gISA)
{
case ISA::AVX2:
case ISA::AVX:
case ISA::SSE41:
#ifdef TORQUE_HAVE_SSE4_1
{
__m128 p = _mm_loadu_ps(P);
__m128 r0 = _mm_dp_ps(_mm_loadu_ps(M + 0), p, 0xF1);
__m128 r1 = _mm_dp_ps(_mm_loadu_ps(M + 4), p, 0xF2);
__m128 r2 = _mm_dp_ps(_mm_loadu_ps(M + 8), p, 0xF4);
__m128 r3 = _mm_dp_ps(_mm_loadu_ps(M + 12), p, 0xF8);
__m128 r = _mm_or_ps(_mm_or_ps(r0, r1), _mm_or_ps(r2, r3));
_mm_storeu_ps(R, r);
return;
}
#endif
case ISA::SSE2:
{
__m128 p = _mm_loadu_ps(P);
__m128 xxxx = _mm_shuffle_ps(p, p, _MM_SHUFFLE(0, 0, 0, 0));
__m128 yyyy = _mm_shuffle_ps(p, p, _MM_SHUFFLE(1, 1, 1, 1));
__m128 zzzz = _mm_shuffle_ps(p, p, _MM_SHUFFLE(2, 2, 2, 2));
__m128 wwww = _mm_shuffle_ps(p, p, _MM_SHUFFLE(3, 3, 3, 3));
__m128 r =
_mm_mul_ps(_mm_loadu_ps(M + 0), xxxx);
r = _mm_add_ps(r, _mm_mul_ps(_mm_loadu_ps(M + 4), yyyy));
r = _mm_add_ps(r, _mm_mul_ps(_mm_loadu_ps(M + 8), zzzz));
r = _mm_add_ps(r, _mm_mul_ps(_mm_loadu_ps(M + 12), wwww));
// transpose from column accum to row result
__m128 t0 = _mm_unpacklo_ps(r, r);
__m128 t1 = _mm_unpackhi_ps(r, r);
__m128 t2 = _mm_movelh_ps(t0, t1);
__m128 t3 = _mm_movehl_ps(t1, t0);
_mm_storeu_ps(R, _mm_shuffle_ps(t2, t3, _MM_SHUFFLE(2, 0, 2, 0)));
return;
}
default: break;
}
#elif TORQUE_MATH_ARM
float32x4_t p = vld1q_f32(P);
float32x4_t r =
vmulq_n_f32(vld1q_f32(M + 0), vgetq_lane_f32(p, 0));
r = vmlaq_n_f32(r, vld1q_f32(M + 4), vgetq_lane_f32(p, 1));
r = vmlaq_n_f32(r, vld1q_f32(M + 8), vgetq_lane_f32(p, 2));
r = vmlaq_n_f32(r, vld1q_f32(M + 12), vgetq_lane_f32(p, 3));
// horizontal add rows
float32x2_t s0 = vadd_f32(vget_low_f32(r), vget_high_f32(r));
float32x2_t s1 = vpadd_f32(s0, s0);
vst1q_lane_f32(R, s1, 0);
return;
#endif
R[0] = M[0] * P[0] + M[1] * P[1] + M[2] * P[2] + M[3] * P[3];
R[1] = M[4] * P[0] + M[5] * P[1] + M[6] * P[2] + M[7] * P[3];
R[2] = M[8] * P[0] + M[9] * P[1] + M[10] * P[2] + M[11] * P[3];
R[3] = M[12] * P[0] + M[13] * P[1] + M[14] * P[2] + M[15] * P[3];
}
void math_backend::float_mat4x4::scale(float* M, const float* S)
{
float scalef[4] = { S[0], S[1], S[2], 1.0f };
#if TORQUE_MATH_x64
__m128 scale = _mm_loadu_ps(scalef); // S = {x, y, z, 1}
__m128 row0 = _mm_loadu_ps(M + 0);
__m128 row1 = _mm_loadu_ps(M + 4);
__m128 row2 = _mm_loadu_ps(M + 8);
__m128 row3 = _mm_loadu_ps(M + 12);
row0 = _mm_mul_ps(row0, scale);
row1 = _mm_mul_ps(row1, scale);
row2 = _mm_mul_ps(row2, scale);
row3 = _mm_mul_ps(row3, scale);
_mm_storeu_ps(M + 0, row0);
_mm_storeu_ps(M + 4, row1);
_mm_storeu_ps(M + 8, row2);
_mm_storeu_ps(M + 12, row3);
return;
#elif TORQUE_MATH_ARM
float32x4_t scale = vld1q_f32(scalef);
vst1q_f32(M + 0, vmulq_f32(vld1q_f32(M + 0), scale));
vst1q_f32(M + 4, vmulq_f32(vld1q_f32(M + 4), scale));
vst1q_f32(M + 8, vmulq_f32(vld1q_f32(M + 8), scale));
vst1q_f32(M + 12, vmulq_f32(vld1q_f32(M + 12), scale));
return;
#endif
M[0] *= S[0]; M[1] *= S[1]; M[2] *= S[2];
M[4] *= S[0]; M[5] *= S[1]; M[6] *= S[2];
M[8] *= S[0]; M[9] *= S[1]; M[10] *= S[2];
M[12] *= S[0]; M[13] *= S[1]; M[14] *= S[2];
}