quick-lint-js
Rust-CUDA
quick-lint-js | Rust-CUDA | |
---|---|---|
17 | 37 | |
1,480 | 2,869 | |
0.7% | 1.8% | |
9.8 | 0.0 | |
about 1 month ago | 6 months ago | |
C++ | Rust | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
quick-lint-js
- Which LSP Server for Python and JavaScript?
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it really a problem in Rust, or is this anti-Rust propaganda?
You were write. Fucking sleeper shill https://github.com/quick-lint/quick-lint-js/blob/master/tools/ci-analytics/github_api.go
- quick-lint-js: quick-lint-js finds bugs in JavaScript programs
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Is coding in Rust as bad as in C++?
pretty insane this issue queue...not that most open source is lucrative but putting low ball price tags on it like this is...not my style let's just say https://github.com/quick-lint/quick-lint-js/issues
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Is coding in Rust as bad as in C++? A practical comparison
My allocator is 258 SLOC.
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Moving beyond C++ console applications applications and libraries ?
quick-lint-js (my project) is written in C++. It:
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New Unicode library
generator: https://github.com/quick-lint/quick-lint-js/blob/7dacde3aacc95110b1ed3a56d8e6fa812aa624c0/tools/generate-lex-unicode/index.js table: https://github.com/quick-lint/quick-lint-js/blob/7dacde3aacc95110b1ed3a56d8e6fa812aa624c0/src/lex-unicode.cpp lookup: https://github.com/quick-lint/quick-lint-js/blob/7dacde3aacc95110b1ed3a56d8e6fa812aa624c0/src/lex.cpp#L89-L109
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How to setup eslint to format on save with nvim's lsp config?
use /u/strager's quick-lint, its better.
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quick-lint-js VS ESLint - a user suggested alternative
2 projects | 24 Dec 2021
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deno_lint VS quick-lint-js - a user suggested alternative
2 projects | 24 Dec 2021
Rust-CUDA
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[Media] Anyone try writing a ray tracer with rust? It's pretty fun!
Source code [here](https://github.com/ihawn/RTracer) if anyone is interested in taking a look or giving feedback. As a side question, does anyone have any general advise on getting GPU compute working with rust? I tried [this project](https://github.com/Rust-GPU/Rust-CUDA) but had a bunch of issues (And it doesn't look like an active repo anyways)
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Is rust or python better for Machine learning? Or is there enough decent frameworks?
You have this https://github.com/Rust-GPU/Rust-CUDA
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toolchain nightly package building issue
What I'm trying to do is check out https://github.com/Rust-GPU/Rust-CUDA for a class project.
- [Rust] État de GPGPU en 2022
- Which crate for CUDA in Rust?
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Announcing cudarc and fully GPU accelerated dfdx: ergonomic deep learning ENTIRELY in rust, now with CUDA support and tensors with mixed compile and runtime dimensions!
Be warned, NON_BLOCKING streams do not fully synchronize with sync host to device copies. They are not guaranteed to actually finish by the time they return. Meaning its possible to initiate a copy, then initiate a kernel launch, and have the copy be unfinished by the time the kernel is launched. This caused so many confusing bugs that i personally decided to stop using NON_BLOCKING altogether in rust-cuda. https://github.com/Rust-GPU/Rust-CUDA/issues/15
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In which circumstances is C++ better than Rust?
- Cuda is not doing by FFI linking, instead is compiling CUDA code natively in Rust https://github.com/Rust-GPU/Rust-CUDA and even if it not complete as the C++ SDK is more than a toy
- I learned 7 programming languages so you don't have to
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GNU Octave
Given your criteria, you might want to consider (modern) C++.
* Fast - in many cases faster than Rust, although the difference is inconsequential relative to Python-to-Rust improvement I guess.
* _Really_ utilize CUDA, OpenCL, Vulcan etc. Specifically, Rust GPU is limited in its supported features, see: https://github.com/Rust-GPU/Rust-CUDA/blob/master/guide/src/... ...
* Host-side use of CUDA is at least as nice, and probably nicer, than what you'll get with Rust. That is, provided you use my own Modern C++ wrappers for the CUDA APIs: https://github.com/eyalroz/cuda-api-wrappers/ :-) ... sorry for the shameless self-plug.
* ... which brings me to another point: Richer offering of libraries for various needs than Rust, for you to possibly utilize.
* Easier to share than Rust. A target system is less likely to have an appropriate version of Rust and the surrounding ecosystem.
There are downsides, of course, but I was just applying your criteria.
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Your average rustafarians
Technically, yes. There are crates for OpenCL and CUDA, although official ROCm support does not exist yet.
What are some alternatives?
weggli - weggli is a fast and robust semantic search tool for C and C++ codebases. It is designed to help security researchers identify interesting functionality in large codebases.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
rslint - A (WIP) Extremely fast JavaScript and TypeScript linter and Rust crate
wgpu - Cross-platform, safe, pure-rust graphics api.
opensg-1.8 - This is a stripped down version of OpenSG 1.8.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
eslint-config-canonical - The most comprehensive ES code style guide.
CUDA.jl - CUDA programming in Julia.
deno_lint - Blazing fast linter for JavaScript and TypeScript written in Rust
GLSL - GLSL Shading Language Issue Tracker
ESLint - Find and fix problems in your JavaScript code.
WeasyPrint - The awesome document factory