Vc
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Vc | CppCoreGuidelines | |
---|---|---|
6 | 306 | |
1,417 | 41,446 | |
1.8% | 0.8% | |
6.1 | 7.6 | |
2 months ago | 5 days ago | |
C++ | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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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:
CppCoreGuidelines
- Learn Modern C++
- C++ Core Guidelines
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Modern C++ Programming Course
You need to talk to Bjarne and Herb...
"C++ Core Guidelines" - https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines
- CLion Nova Explodes onto the C and C++ Development Scene
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Toward a TypeScript for C++"
In addition to the other comments -
TypeScript deliberately takes a "good enough" approach to improving JavaScript, instead of designing an ideal but incompatible approach. For example, its handling of [function parameter bivariance](https://www.typescriptlang.org/docs/handbook/type-compatibil...) is unsound but works much better with the existing JavaScript ecosystem. By contrast, a more academic functional programming language would guarantee a sound type system but would be a huge shift from JavaScript.
By analogy, Herb Sutter is arguing that something like the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines), with tooling help in this new Cpp2 syntax, can bring real improvements to safety. Something like Rust's borrow checker would bring much stricter guarantees, backed by academic research and careful design, but would be incompatible and a huge adjustment.
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MechE student here. Is there benefit to learning C in addition to C++, or can one do everything with C++ that can be done with C?
https://www.youtube.com/watch?v=2olsGf6JIkU
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C++ is everywhere, but noone really talks about it. What are people's thoughts?
Take a look at Effective Modern c++ by Scott Meyers and the ISO c++ core guidelines. These resources are great for learning how to write better, more modern C++. I don't think it would be hard to grasp if you're already familiar with the language, just make sure to actually write some code which makes use of this stuff, otherwise it's easy to forget.
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What are some C++ specific antipatterns that might be missed by C#/Java devs?
Look to the C++ Core Guidelines. It's not perfect, it has some flaws, including some sabotaging advice apparently adopted for political reasons. But at least it has some C++ authorities (Bjarne and Herb) as authors.
- How to improve the code quality
What are some alternatives?
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
Crafting Interpreters - Repository for the book "Crafting Interpreters"
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
github-cheat-sheet - A list of cool features of Git and GitHub.
Eigen
LearnOpenGL - Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
blaze
git-internals-pdf - PDF on Git Internals
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).
Power-Fx - Power Fx low-code programming language
TinyExpr - tiny recursive descent expression parser, compiler, and evaluation engine for math expressions
clojure-style-guide - A community coding style guide for the Clojure programming language