https://documentation-service.arm.com/static/6530e5163f12c06... (PDF)
Last time I tried using gathers on AVX2, performance was comparable to doing scalar loads.
Gathers on AVX2 used to be problematic, but assume it shouldn't be the case today especially if the lane-crossing is minimal? (if you do know, please share!)
When using SIMD you must either use SoA or AoSoA for optimal performance. You can sometimes use AoS if you have a special hand coded swizzle loader for the format.
You can write them yourself also but I'd add a verifier that checks the output with scalar code as it can be tricky to get correct.
Intel had an article up for the 3x8 transpose, but it seems to no longer exist so i'll just post the psuedo code
//xyz -> xxx
void swizzle3_AoS_to_SoA(v8float &x, v8float &y, v8float &z) {
v8float m14 = interleave_low_high<1, 2>(x, z); //swap low/high 128 bits
v8float m03 = blend<0, 0, 0, 0, 1, 1, 1, 1>(x, y); //_mm256_blend_ps 1 cycle
v8float m25 = blend<0, 0, 0, 0, 1, 1, 1, 1>(y, z);
//shuffles are all 1 cycle
__m256 xy = _mm256_shuffle_ps(m14, m25, _MM_SHUFFLE(2, 1, 3, 2)); // upper x's and y's
__m256 yz = _mm256_shuffle_ps(m03, m14, _MM_SHUFFLE(1, 0, 2, 1)); // lower y's and z's
v8float xo = _mm256_shuffle_ps(m03, xy, _MM_SHUFFLE(2, 0, 3, 0));
v8float yo = _mm256_shuffle_ps(yz, xy, _MM_SHUFFLE(3, 1, 2, 0));
v8float zo = _mm256_shuffle_ps(yz, m25, _MM_SHUFFLE(3, 0, 3, 1));
x = xo;
y = yo;
z = zo;
}