In Computer science the process of converting an algorithm from a scalar implementation, which does an operation one pair of operands at a time, to a vector process where a single instruction can refer …

Vectorization is the rewriting of loops into vector instructions. Notation: a[i:j] = Elements between index i and j (including). Assume a = [1,2,3,4,5] and b = [5,4,3,2,1]. Analyze... loop form: exit condition, …

To vectorize, the compiler needs to guarantee that the pointers are not aliased When the compiler does not know if two pointers are aliases, it can still vectorize but needs to add up to O n2 run-time …

Vector concatenation is vectorized code! In general, vectorized code replaces the loop for moving through a vector one component at a time. Is using a built-in function the same as using vectorized …

Dynamic shapes mean that the Vectorizer has no way of guessing what sizes to use. User must specify what vector sizes to use. You know your architecture better, tell the vectorizer what sizes to use! …

It will probably never be good enough As it cannot know as much as the developer Especially concerning input data such as average number of tracks reconstructed average energy in that data …

There are different techniques for different problems. There are different techniques for the same problem. Different techniques are better or worse depending on the matrix size. There is no end to …