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 …

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 …

Apr 4, 2020 · GCC enables auto-vectorization at . Prefer that. (It doesn't enable loop unrolling by default these days; ideally use -fprofile-generate + -fprofile-use to get hot loops unrolled.) Also …

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 …

Mar 6, 2015 · python pandas dataframe numpy vectorization edited Dec 18, 2021 at 7:25 tdy 42k 41 123 125

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 …

Dec 24, 2014 · python arrays performance numpy vectorization edited Dec 24, 2014 at 12:25 asked Dec 23, 2014 at 16:54 ButterDog

Nov 21, 2011 · Is there anyway to "vectorize" the addition of elements across arrays in a SIMD fashion? For example, I would like to turn: var a = new[] { 1, 2, 3, 4 }; var b = new ...