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  1. 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 …

  2. 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.

  3. 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.

  4. 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 …

  5. 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 …

  6. How to vectorize with gcc? - Stack Overflow

    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 …

  7. 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 …

  8. visual c++ - Why does msvc not vectorize? - Stack Overflow

    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 …

  9. python - Performance of Pandas apply vs np.vectorize to create …

    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 …

  10. vectorization - vectorize.upstream_error - failed to parse upsert ...

    Dec 12, 2024 · vectorization cloudflare cloudflare-workers cloudflare-r2 wrangler edited Dec 15, 2024 at 17:18 nmishin 3,222 5 22 37