threads.js
rayon
threads.js | rayon | |
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10 | 67 | |
2,989 | 10,277 | |
- | 1.9% | |
0.0 | 9.0 | |
11 days ago | 14 days ago | |
TypeScript | Rust | |
MIT License | 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.
threads.js
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threads.js VS multithreading - a user suggested alternative
2 projects | 10 Jan 2024
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threads.js VS threadman - a user suggested alternative
2 projects | 10 Sep 2022
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whats the advantages and disadvantages and limitations of worker thread in nodejs compared to multithreading in frameworks like spring ?
Threads.js makes it pretty easy to spawn a thread pool and handle multi-threading workloads.
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Make your end to end tests fast
We did this via the npm threads wrapper and esbuild. We first moved all of our compute code into a new file with minimal imports, called imageCompare.worker.js. We then added a pre-compilation step with esbuild to compile this file into a bundle. We then spawn the worker using this generated file as a blob, and interact with it via the threads promise interface.
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How to make an API route for a computationally heavy task?
That latter one is in it's own process, and I also use multiple threads with the threads library.
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Kanye West AI in JavaScript (React and TFJS)
This app has a memory leak where your worker threads are spawning out of control. You can verify this in Chrome DevTools Source tab: after you click the Generate button, you can see the worker threads spawning out of control until you close the process.
I'd advise that you do a better job at manually spawning and terminating the threads with the TFJS process. I've had success using this library in combination with TFJS: https://threads.js.org/
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[AskJS] Examples of Apps not suitable to be implemented with NodeJS
You can use it for everything. Even the compute tasks you can offload to worker threads using something like https://github.com/andywer/threads.js or you could create intensive modules in Rust and integrate using something like https://github.com/neon-bindings/neon
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Hacker News top posts: May 23, 2021
Web worker meets worker threads โ threads.js\ (3 comments)
- Web worker meets worker threads โ threads.js
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Poolifier as Node.js thread/cluster pool
threads.js
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?
piscina - A fast, efficient Node.js Worker Thread Pool implementation
crossbeam - Tools for concurrent programming in Rust
partytown - Relocate resource intensive third-party scripts off of the main thread and into a web worker. ๐
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
comlink - Comlink makes WebWorkers enjoyable.
RxRust - The Reactive Extensions for the Rust Programming Language
threadbox - Recursive Worker Threads in NodeJS
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
workerize - ๐๏ธ Run a module in a Web Worker.
tokio-rayon - Mix async code with CPU-heavy thread pools using Tokio + Rayon
microjob - A tiny wrapper for turning Node.js worker threads into easy-to-use routines for heavy CPU loads.
coroutine-rs - Coroutine Library in Rust