qFib VS VectorizedKernel

Compare qFib vs VectorizedKernel and see what are their differences.

qFib

Fast, and parallel, fibonacci numbers (by Wunkolo)

VectorizedKernel

Running GPGPU-like kernels on CPU with auto-vectorization for SSE/AVX/AVX512 SIMD Architectures (by tugrul512bit)
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qFib VectorizedKernel
2 1
10 7
- -
0.0 2.6
almost 4 years ago about 1 year ago
C++ C++
MIT License GNU General Public License v3.0 only
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.

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.

VectorizedKernel

Posts with mentions or reviews of VectorizedKernel. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing qFib and VectorizedKernel you can also consider the following projects:

lear-nim-g - Look ma I'm learNIMg

libsimdpp - Portable header-only C++ low level SIMD library

xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))

napajs - Napa.js: a multi-threaded JavaScript runtime

Vc - SIMD Vector Classes for C++

std-simd - std::experimental::simd for GCC [ISO/IEC TS 19570:2018]

HLML - Auto-generated maths library for C and C++ based on HLSL/Cg

simde - Implementations of SIMD instruction sets for systems which don't natively support them.

highway - Performance-portable, length-agnostic SIMD with runtime dispatch

ThatsALotOfDMG - A Nintendo Game Boy emulator written to be fast, other features are secondary.