simd - What is "vectorization"? - Stack Overflow
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 …
c++ - What does vectorization mean? - Stack Overflow
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.
python - What is vectorization? - Stack Overflow
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 …
Why is vectorization, faster in general, than loops?
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.
Does Azure AI Search Integrated Vectorization use a Vector …
Feb 5, 2024 · For integrated vectorization - the actual vectors and content are stored in a search index for quick searching, it uses a storage account as a data source, not to search over. The …
What is the relationship between vectorization and embarrasingly ...
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 …
Numpy vectorization and algorithmic complexity - Stack Overflow
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 …
simd - Auto vectorization with Rust - Stack Overflow
Jul 26, 2022 · how to auto vectorization array comparison function GCC C vector extension: How to check if result of ANY element-wise comparison is true, and which? If the whole array is …
python - How to use np.vectorize? - Stack Overflow
Feb 13, 2021 · I have this function to vectorize: if x >= y, then x*y else x/y My code is: def vector_function(x, y): if y >= x: return x*y else: return x/y vfunc = np.vectorize(
How to vectorize this loop with OpenMP simd? - Stack Overflow
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){ …