Vc Alternatives

Vc reviews and mentions

• Vc: SIMD Vector Classes for C++
  1 project | news.ycombinator.com | 28 May 2026
• Understanding SIMD: Infinite Complexity of Trivial Problems
  3 projects | news.ycombinator.com | 30 Nov 2024

  I'm surprised no one has mentioned Vc. I found ispc clunky and not as performant, and std::simd didn't support some useful math ops like rsqrt. Vc has been around for years, I have no trouble including it in my codes, it has masking and many of the most useful math ops, and I can get over 1 TF/s on a consumer-grade Ryzen and at least 3 TF/s on the big Epyc CPUs.

  https://github.com/VcDevel/Vc

• The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
  2 projects | /r/cpp | 30 Dec 2022

  Most high-performance math libraries perform a lot of vectorization (Eigen, etc) under the hood. And you've got stuff like Klein, Vc (which is reminiscent of std::valarray), etc. Then there's OpenMP's #pragma omp simd (assuming version 4.0 or greater).

• John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
  5 projects | /r/cpp | 21 Aug 2022

  I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.

• SPO600 project part 2
  2 projects | dev.to | 13 Apr 2022

  First of all about our project, I previously decided to work with VC library.https://github.com/VcDevel/Vc

• SPO600 project part 1
  8 projects | dev.to | 22 Mar 2022

  I've decided to switch to something better, and after a few hours of searching, I found this repository: NSIMD https://github.com/agenium-scale/nsimd FastDifferentialCoding https://github.com/lemire/FastDifferentialCoding VS https://github.com/VcDevel/Vc XSIMD https://github.com/xtensor-stack/xsimd

• Vc 1.4.2 released: portable SIMD programming for C++
  3 projects | /r/cpp | 23 Jun 2021
• All C++20 core language features with examples
  10 projects | news.ycombinator.com | 7 Apr 2021

  > - Waiting for Cross-Platform standardized SIMD vector datatypes

  which language has standardized SIMD vector datatypes ? most languages don't even have any ability to express SIMD while in C++ I can just use Vc (https://github.com/VcDevel/Vc), nsimd (https://github.com/agenium-scale/nsimd) or one of the other ton of alternatives, and have stuff that JustWorksTM on more architectures than most languages even support

  - Using nonstandard extensions, libraries or home-baked solutions to run computations in parallel on many cores or on different processors than the CPU

  what are the other native languages with a standardized memory model for atomics ? and, what's the problem with using libraries ? it's not like you're going to use C# or Java's built-in threadpools if you are doing any serious work, no ? Do they even have something as easy to use as https://github.com/taskflow/taskflow ?

  - Debugging cross-platform code using couts, cerrs and printfs

  because people never use console.log in JS or System.println in C# maybe ?

  - Forced to use boost for even quite elementary operations on std::strings.

  can you point to non-trivial java projects that do not use Apache Commons ? Also, the boost string algorithms are header-only so you will end up with exactly the same binaries that if it was in some std::string_algorithms namespace:

  https://gcc.godbolt.org/z/43vKadbde

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