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 support for vector …
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.
Azure Search Integrated Vectorization Error - Stack Overflow
Oct 1, 2023 · I've been using Azure AI Search for a while now and it has been running smoothly. I use the 2023-10-01-preview for the AI Search to have access to the integrated vectorization feature. …
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.
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 library.
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 specialized …
Do we need vectorization in C++ or are for loops already fast enough?
Feb 8, 2021 · 5 Do we need vectorization in C++ Vectorisation is not necessarily needed always, but it can make some programs faster. C++ compilers support auto-vectorisation, although if you need to …
Does Azure AI Search Integrated Vectorization use a Vector Database …
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 JSON files …
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 ones. Low level …
performance - Using `numba` to speed up vectorization on very large ...
May 31, 2024 · Using `numba` to speed up vectorization on very large `numpy` arrays Asked 1 year, 7 months ago Modified 1 year, 7 months ago Viewed 2k times