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 21, 2024 · Is there an example of how to chunk large documents (not from storage) and index them into Azure AI search in a way that does not require having the same document multiple …

Jul 9, 2014 · Let's say we have the following function: def f(x, y): if y == 0: return 0 return x/y This works fine with scalar values. Unfortunately when I try to use numpy arrays for x and y the

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 …

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

I'd appreciate some help in finding and understanding a pythonic way to optimize the following array manipulations in nested for loops: def _func(a, b, radius): "Return 0 if a>b, otherwise ...

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 …