xsimd
nsimd
| xsimd | nsimd | |
|---|---|---|
| 3 | 2 | |
| 2,043 | 315 | |
| 1.4% | 1.6% | |
| 8.7 | 0.0 | |
| 2 days ago | over 2 years ago | |
| C++ | C | |
| BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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xsimd
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GDlog: A GPU-Accelerated Deductive Engine
https://github.com/xtensor-stack/xsimd
GH topics > HashMap:
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SIMD intrinsics and the possibility of a standard library solution
xsimd - 1.6K GH stars
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SPO600 project part 1
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
nsimd
-
SPO600 project part 1
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
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All C++20 core language features with examples
> - 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
What are some alternatives?
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
simde - Implementations of SIMD instruction sets for systems which don't natively support them.
Vc - SIMD Vector Classes for C++
sleef - SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
libsimdpp - Portable header-only C++ low level SIMD library
std-simd - std::experimental::simd for GCC [ISO/IEC TS 19570:2018]
FastDifferentialCoding - Fast differential coding functions (using SIMD instructions)
optuna - A hyperparameter optimization framework
VectorizedKernel - Running GPGPU-like kernels on CPU with auto-vectorization for SSE/AVX/AVX512 SIMD Architectures
highway - Highway - A Modern Javascript Transitions Manager