pariter
Parallel iterator processing library for Rust (by dpc)
rayon
Rayon: A data parallelism library for Rust (by rayon-rs)
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pariter
Posts with mentions or reviews of pariter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-04.
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Polars Dataframes vs Vectors of structs
Once you have something working, and you want to make it fast, run cargo install flamegraph, and then cargo flamegraph, to see where your code is spending its time. Once you've fixed any hot spots that you weren't expecting, you can try using rayon or https://github.com/dpc/pariter to start making use of more CPU cores.
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[Media] Releasing my first rust project - Log Analyzer Pro, a blazingly fast, feature-rich TUI log analyzer
Parallel iterators: rayon or what I ended up using because I wanted to keep the original order is this amazing library: https://github.com/dpc/pariter
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what are the resources for writing multi threaded programs in rust
There is also https://github.com/dpc/pariter which is similar to rayon but preserves order of tasks.
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A puzzle: Any nice way to multithread work in order?
All right, I've got it working. https://github.com/dpc/pariter/tree/non-static-f
rayon
Posts with mentions or reviews of rayon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-09.
- 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.