cargo-asm
rayon
cargo-asm | rayon | |
---|---|---|
13 | 67 | |
1,104 | 10,277 | |
- | 1.9% | |
0.0 | 9.0 | |
about 2 years ago | 10 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
cargo-asm
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Performance difference between obj.function(...) and function(obj, ...) ?
cargo asm might be useful here (if you can't use godbolt).
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Is there a simple way to borrow the value of an Option without using a match statement?
They should be inlined in release mode. You'd have to verify by checking the assembly, though, which could be done directly in the Rust playground or with a tool like cargo-asm.
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Hey Rustaceans! Got a question? Ask here (4/2023)!
You can use cargo asm - not sure if you can integrate it with VSCode, but even from a terminal it's a pretty convenient tool.
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How does rust optimize this code to increase the performance so drastically?
There's probably a built-in one somewhere, but I suspect it'd be easier just to install https://github.com/gnzlbg/cargo-asm
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Is there a library to display source with annotations?
I don't know if there's a way to do a side by side comparison but cargo-asm uses the source mapping information from rustc to annotate chunks of assembly with it's respective rust code, though it's an imperfect process.
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Hey Rustaceans! Got a question? Ask here! (25/2022)!
After that you would need some tools to help figure out how to achieve improvements. That will depend on your system and personal preferences. As the other commenter suggested, perf is a good choice on linux. I personally like to look at the generated assembly, using either cargo asm, godbolt, or just rust playground.
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New crate announcement cargo-show-asm
Doesn't this already exist? https://github.com/gnzlbg/cargo-asm
- on the fly disassembler for Rust symbols
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Writing the fastest GBDT libary in Rust
From the flamegraph, we knew which function was taking the majority of the time, which we briefly described above. We started by looking at the assembly code it generated to see if there were any opportunities to make it faster. We did this with cargo-asm.
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How can I profile this type of slowdown?
You're best bet at the moment is probably using cargo-asm to inspect the function assembly to see when it is performing the correct TCO.
rayon
- Rayon: Data-race free parallelization of sequential computations in Rust
- Too Dangerous for C++
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Which application/problem would you choose for presenting Rust to newcomers in 1h30min?
Do some operations with .iter() then later use rayon to parallelize. So you can show how easy is to add a dependency and how easy is to parallelize.
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What Are The Rust Crates You Use In Almost Every Project That They Are Practically An Extension of The Standard Library?
rayon: Async CPU runtime for parallelism.
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Moving from Typescript and Langchain to Rust and Loops
In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
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AreWeMegafactoryYet? I just breached simulating 1M buildings @ 60 fps (If I'm not recording, Ryzen 7 1700X 8 Core)
With a lot of rayon, blood, sweat and tears I finally managed to simulate a million buildings at 60fps :) Feel free to AMA, game is Combine And Conquer
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The Rust I Wanted Had No Future
(see https://github.com/rayon-rs/rayon/tree/master/src/iter/plumbing)
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Parallel event iterator?
I did some very basic testing with this crate : https://crates.io/crates/rayon and it seems to work :
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General Recommendations: Should I Use Tree-sitter as the AST for the LSP I am developing?
Sequentially, generating tree-sitter AST for each file and querying for the links of each file takes around 2.3 seconds. However, I randomly remembered this crate rayon, and I decided to test it. It ended up improving the performance (just by changing 2 lines of code) to 200-300ms by parallelizing the iterators and tree-sitter queries. MAJOR.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
What are some alternatives?
rust - Empowering everyone to build reliable and efficient software.
crossbeam - Tools for concurrent programming in Rust
cargo-show-asm - cargo subcommand showing the assembly, LLVM-IR and MIR generated for Rust code
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
multitarget-issue
RxRust - The Reactive Extensions for the Rust Programming Language
safe_arch - Exposes arch-specific intrinsics as safe function (via cfg).
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
wide - A crate to help you go wide. By which I mean use SIMD stuff.
tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon
stateright - A model checker for implementing distributed systems.
coroutine-rs - Coroutine Library in Rust