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Vc | GLM | |
---|---|---|
6 | 36 | |
1,417 | 8,653 | |
1.5% | 2.0% | |
6.1 | 9.0 | |
2 months ago | 3 days ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
Vc
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The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
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).
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John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
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.
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SPO600 project part 2
First of all about our project, I previously decided to work with VC library.https://github.com/VcDevel/Vc
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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
- Vc 1.4.2 released: portable SIMD programming for C++
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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:
GLM
- Release of GLM 1.0.0
- C++23: The Next C++ Standard
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What files from glm's github do I need to add to my emscripten project?
I am a greenhorn at graphics programming. I just made an app in OpenGL with C++ that I now need to change over to a browser app with WebGL. WebGL looks pretty cool but since my app does a lot of calculations I assumed I should keep the heavier calculating parts in C++ with emscripten ( which I am also just learning ). So looking at it, it just looks like glm is the only library I seriously need for my c++ code and that seems pretty cool because it is a header only app it says. But in the github there are a lot of folders and files so I am not sure which are indispensable or not. Any advice?
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What is a file with the .i.hh extension such as myfile.i.hh used for in a C++ project?
GLM does it quite well, it has core includes then a detail folder with all the inl files that get added. https://github.com/g-truc/glm
- [Opengl] Aide: compilation et installation de GLFW
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Porting to metal?
I once ported an OpenGL code base over to Metal. For me, it was essential to do as much code sharing as possible. Because I was using the GLM library in that code base and generally found that library very useful I wanted to know whether I can use GLM with Metal. I had to do some research but it turned out it works really well, see here
- Which is the best way to work with matrices and linear algebra using c++?
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Best C++ Game Framework
I would also recommend GLM
- PocketPy: A Lightweight(~5000 LOC) Python Implementation in C++17
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Learning DirectX 12 in 2023
Alongside MiniEngine, you’ll want to look into the DirectX Toolkit. This is a set of utilities by Microsoft that simplify graphics and game development. It contains libraries like DirectXMesh for parsing and optimizing meshes for DX12, or DirectXMath which handles 3D math operations like the OpenGL library glm. It also has utilities for gamepad input or sprite fonts. You can see a list of the headers here to get an idea of the features. You’ll definitely want to include this in your project if you don’t want to think about a lot of these solved problems (and don’t have to worry about cross-platform support).
What are some alternatives?
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
Eigen
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
linmath.h - a lean linear math library, aimed at graphics programming. Supports vec3, vec4, mat4x4 and quaternions
blaze
cglm - 📽 Highly Optimized 2D / 3D Graphics Math (glm) for C
MIRACL - MIRACL Cryptographic SDK: Multiprecision Integer and Rational Arithmetic Cryptographic Library is a C software library that is widely regarded by developers as the gold standard open source SDK for elliptic curve cryptography (ECC).
OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
TinyExpr - tiny recursive descent expression parser, compiler, and evaluation engine for math expressions