probe-rs
rust-gpu
probe-rs | rust-gpu | |
---|---|---|
11 | 82 | |
1,485 | 6,972 | |
3.4% | 1.1% | |
9.8 | 7.7 | |
1 day ago | 4 days ago | |
Rust | Rust | |
Apache License 2.0 | 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.
probe-rs
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Where my STM32 Rust compiler?
Want debugging capabilities with anything with an am st link/jtag/other compatible probe? https://probe.rs/
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174 dependencies to get the temperature. Still worth it
/uj The SVG usage looks to be in a visualisation helper. Maybe ought to be a separate module, but I've seen worse.
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probe-rs 0.13.0 is out! 🎉
There is a command to list supported chips for *flashing* in all our CLI tools. Furthermore https://github.com/probe-rs/probe-rs/tree/master/probe-rs/targets contains all targets for which we support *flashing*.
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Oxide on My Wrist: Hubris on PineTime was the best worst idea
Under the hood, cargo-embed, knurling's probe-run, and Humility are all built atop probe-rs (https://probe.rs/) to provide debugging - I think in this case it's actually a great example of cooperation between projects! Probe-rs has received PRs from both Knurling and Oxide devs; it provides the common interface to use various types of debug hardware and talk to various types of microcontroller cores, essentially replacing OpenOCD.
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Rust on M1 What experience?
Ryzen 3700X, 3200Mhz DDR4 tower builds http://probe.rs in 1m47s with fans fully spinning. M1 Pro: zero noise, 1m21s. Ryzen 3950X is on par with the M1 Pro. Actual speed difference will very much depend on your actual workload. Compiling for aarch64 apparently is more efficient than for amd64. Which is why compiling for you locally gives much more speed benefit than some generic benchmarks would indicate :) Also, you cannot forget that I can easily work for 10hrs on my MBP M1 Pro with rust-analyzer and frequent compiles running. You can forget that with any other suggested "on par" notebook. They will drain your battery instantly. Also, with the same thermal mass, other laptop builds will go into throttling much faster, which will lead to slower effective speed. XPS laptops and old macbooks know this issue very well :)
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Async Rust vs RTOS showdown! - Spoiler: Rust is faster!
Anyone who fancies doing some coding for fun should have a go at an embedded project using rust's tools. Not just embassy, but the PACs, the HALs, probe-rs (probe-rs is bonkers good), and the community on matrix. My bet is on rust embedded seeing huge growth in the next few years.
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C Is Not a Low-level Language: Your computer is not a fast PDP-11.
probe-rs (embedded debugging toolkit for ARM and RISC-V which is supposed to be used in place of the above if you code with it as it aims to fully replace the GDB portion of the stack for Rust embedded development)
- Doing M1 MacBook Pro (M1 Max, 64GB) Compile Benchmarks!
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We finally released 0.11.0 of probe-rs! 🎉
cargo install --git https://github.com/probe-rs/probe-rs probe-rs-debugger
rust-gpu
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Vcc – The Vulkan Clang Compiler
Sounds cool, but this requires yet another language to learn[0]. As someone who only has limited knowledge in this space, could someone tell me how comparable is the compute functionality of rust-gpu[1], where I can just write rust?
[0] https://github.com/Hugobros3/shady#language-syntax
[1] https://github.com/EmbarkStudios/rust-gpu
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Candle: Torch Replacement in Rust
I don't do anything related to data science, but I feel like doing it in Rust would be nice.
You get operator overloading, so you can have ergonomic matrix operations that are typed also. Processing data on the CPU is fast, and crates like https://github.com/EmbarkStudios/rust-gpu make it very ergonomic to leverage the GPU.
I like this library for creating typed coordinate spaces for graphics programming (https://github.com/servo/euclid), I imagine something similar could be done to create refined types for matrices so you don't do matrix multiplication matrices of invalid sizes
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What's the coolest Rust project you've seen that made you go, 'Wow, I didn't know Rust could do that!'?
Do you mean rust-gpu?
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How a Nerdsnipe Led to a Fast Implementation of Game of Life
And https://github.com/EmbarkStudios/rust-gpu/tree/main/examples with the wgpu runner (here it runs the compute shader)
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What is Rust's potential in game development?
I don't know how major they are considered, but Embark Studios is doing quite a bit of Rust in the open source space, most notably (IMO) rust-gpu and kajiya
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[rust-gpu] How do I run/build my own shaders locally?
The examples in the rust-gpu repository are a good place to start
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Posh: Type-Safe Graphics Programming in Rust
There's another project that's similar that's being used by an actual game company: https://github.com/EmbarkStudios/rust-gpu
They see specific advantages here that would outweigh that negative. It's not my space (I play games, but know next to nothing about graphics programming), but there's at least one argument in the other direction.
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Introducing posh: Type-Safe Graphics Programming in Rust
Could this approach work for compute shaders (GPGPU) as well? So far, I think https://github.com/EmbarkStudios/rust-gpu is the state of the art in that area, but it adds a specific Rust compiler backend for generating SPIR-V rather than leaving that up to the driver. That seems more complicated than it needs to be... but maybe it has advantages too? Thoughts?
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Looking for high level GPU computing crate
https://github.com/embarkstudios/rust-gpu Allows you to create shaders (kernals) in Rust.
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With what languages are video games like League of Legends (most likely) programmed?
Also Embark Studios (formers DICE people) is doing a lot of work with Rust, all open source like Rust GPU https://github.com/EmbarkStudios/rust-gpu
What are some alternatives?
cargo-embed - a cargo extension for working with microcontrollers
llama.cpp - LLM inference in C/C++
rust-getting-started - Develop Rust Apps in Kubernetes with Okteto
wgpu - Cross-platform, safe, pure-rust graphics api.
rvemu - RISC-V emulator for CLI and Web written in Rust with WebAssembly. It supports xv6 and Linux (ongoing).
Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
pyOCD - Open source Python library for programming and debugging Arm Cortex-M microcontrollers
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
www.rust-lang.org - The home of the Rust website
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]
DiligentEngine - A modern cross-platform low-level graphics library and rendering framework