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.
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.
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 …
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 …
c - Why won't simple code get auto-vectorized with SSE and AVX in ...
Sep 30, 2024 · Is there a rational reason why modern compilers might be hesitant to generate vectorized code for something as straightforward as this? As Barmar suggested, 4 elements might not be …
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 …
python - Performance of Pandas apply vs np.vectorize to create new ...
Oct 6, 2018 · I am using Pandas dataframes and want to create a new column as a function of existing columns. I have not seen a good discussion of the speed difference between df.apply () and …
Simple example to understand vectorisation in Pandas
Aug 5, 2022 · I am new to Python and I am trying to understand how vectorisation works in pandas dataframes. Let's take this dataframe as example: df = pd.DataFrame ( [1,2,3,4,5,6,7,8,9,10]) And …