Right. Glam (maybe because it's stuck with its data layout, maybe to present a cleaner interface) instead uses a SIMD type for a single Vec4, which tends to be a much less efficient way of using SIMD types.
> If your vector is generic (using cpp syntax here): vec<3 float> then you can just put in vec<3, float4> and then solve 4 vector math problems at a time.
Yeah, that's the idea, but for anyone reading, the main complication is when you need to branch. There are usually multiple ways to handle branching (e.g., sometimes it's worth adding a "fast path" for when all the branches are true, and sometimes it isn't; sometimes you should turn a branch into branchless code and sometimes you shouldn't) and AVX-512 adds even more ways to do it.
> If your vector is generic (using cpp syntax here): vec<3 float> then you can just put in vec<3, float4> and then solve 4 vector math problems at a time.
Yeah, that's the idea, but for anyone reading, the main complication is when you need to branch. There are usually multiple ways to handle branching (e.g., sometimes it's worth adding a "fast path" for when all the branches are true, and sometimes it isn't; sometimes you should turn a branch into branchless code and sometimes you shouldn't) and AVX-512 adds even more ways to do it.