Sep 14, 2009 · Vectorization is the process of converting an algorithm from operating on a single value at a time to operating on a set of values at one time. Modern CPUs provide direct support for vector …

Oct 4, 2009 · Vectorization doesn't mean that the compiler does it, just that SIMD instructions are used. When the compiler generates SIMD code it's generally called auto-vectorization.

Jan 30, 2016 · Vectorization is a type of parallel processing. It enables more computer hardware to be devoted to performing the computation, so the computation is done faster.

Dec 11, 2017 · What does it mean to vectorize for-loops in Python? Is there another way to write nested for-loops? I am new to Python and on my research, I always come across the NumPy library.

Jan 10, 2013 · Vectorization is a particular form of how parallelism is achieved. In particular, vectorization mostly uses dedicated SIMD execution hardware units in processors using specialized …

Mar 7, 2023 · 'vectorization' can mean different things depending on context. For numpy code (at least in most SO questions) it primarily is the first - replacing interpreterd loops with compiled ones. Low level …

Jan 3, 2009 · The v4 series of the gcc compiler can automatically vectorize loops using the SIMD processor on some modern CPUs, such as the AMD Athlon or Intel Pentium/Core chips. How is this …

Sep 8, 2024 · Thanks, at least I am sure now that vectorization is not somehow disabled for my usage of msvc. Do you have assumptions why they made msvc not vectorize the j-loop with int and unsigned …

Jan 9, 2024 · I have the following code which takes as input an x and fills the output vector y, which I would like to vectorize with OpenMP's simd directive: for (size_t qi = 0; qi < nq; ++qi){ const aut...

Sep 27, 2012 · Matlab 'vectorization', as the word is commonly used, is only about expressing loops in the form of (vectors of) matrix indices, and sometimes about writing things in terms of basic …