What are the limitations of the Rust Rayon library?

What are the limitations of the Rust Rayon library?

The Rust Rayon library is great for data parallelism, but it has some limitations. For instance, it doesn't support nested parallelism well, meaning you can't easily spawn parallel tasks within already parallel tasks. Additionally, it may not be the best choice for workloads that require fine-grained control over thread management.

Are there any performance issues I should be aware of?

Yes, while Rayon is optimized for performance, there can be overhead associated with task scheduling and thread management. For small workloads, the overhead might outweigh the benefits of parallelism. It's important to benchmark your specific use case.

Can I use Rayon with async code?

Rayon is designed for synchronous code, so using it directly with async code can lead to complications. You might need to use a different approach or library that supports async operations.

What alternatives do I have for parallel processing in Rust?

Alternatives to Rayon include the std::thread module for manual thread management, or libraries like tokio for async processing. Each has its own use cases and trade-offs.