qFib
Fast, and parallel, fibonacci numbers (by Wunkolo)
veccore
C++ Library for Portable SIMD Vectorization (by root-project)
qFib | veccore | |
---|---|---|
2 | 1 | |
10 | 79 | |
- | - | |
0.0 | 4.8 | |
almost 4 years ago | about 1 month ago | |
C++ | C++ | |
MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
qFib
Posts with mentions or reviews of qFib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-13.
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Ever wondered what the 100,000th Fibonacci number is?
I've ran into a very curous hand-derived 4x4 matrix that calculates up to four terms in parallel that I am trying to generalize into higher-degree matrices(NxN), that also follows the pattern of repeated squaring to get an N-th term in less than N steps. Care to provide some insight? Been sitting on this for quite some time now https://github.com/Wunkolo/qFib
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Can anyone ELI5 what is an AVX and the purpose of it in CPUs?
Heh heh
veccore
Posts with mentions or reviews of veccore.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-19.
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Optimization Example: Mandelbrot Set (part 1)
In VecCore (a small C++ SIMD abstraction library on top of Vc and std::simd), I created some simple examples to show how to use the library to optimize code using SIMD in a somewhat generic way. You can find it on GitHub at https://github.com/root-project/veccore
I have examples for Julia sets and the Mandelbrot set, including an implementation with AVX2 intrinsics.
These days with std::simd more widely available there's less of a reason to use VecCore, but the examples may still be educational enough.
What are some alternatives?
When comparing qFib and veccore you can also consider the following projects:
lear-nim-g - Look ma I'm learNIMg