https://github.com/smol-rs/easy-parallel

Run closures in parallel
https://github.com/smol-rs/easy-parallel

rust

Last synced: about 1 year ago
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Run closures in parallel

• Host: GitHub
• URL: https://github.com/smol-rs/easy-parallel
• Owner: smol-rs
• License: apache-2.0
• Created: 2020-05-26T22:06:57.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2025-01-19T16:42:29.000Z (over 1 year ago)
• Last Synced: 2025-05-08T00:08:53.205Z (about 1 year ago)
• Topics: rust
• Language: Rust
• Homepage:
• Size: 38.1 KB
• Stars: 113
• Watchers: 3
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE-APACHE

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README

          
# easy-parallel

[![Build](https://github.com/smol-rs/easy-parallel/workflows/Build%20and%20test/badge.svg)](

https://github.com/smol-rs/easy-parallel/actions)

[![License](https://img.shields.io/badge/license-Apache--2.0_OR_MIT-blue.svg)](

https://github.com/smol-rs/easy-parallel)

[![Cargo](https://img.shields.io/crates/v/easy-parallel.svg)](

https://crates.io/crates/easy-parallel)

[![Documentation](https://docs.rs/easy-parallel/badge.svg)](

https://docs.rs/easy-parallel)

Run closures in parallel.

This is a simple primitive for spawning threads in bulk and waiting for them to complete.

Threads are allowed to borrow local variables from the main thread.

# Examples

Run two threads that increment a number:

```rust

use easy_parallel::Parallel;

use std::sync::Mutex;

let mut m = Mutex::new(0);

Parallel::new()

    .add(|| *m.lock().unwrap() += 1)

    .add(|| *m.lock().unwrap() += 1)

    .run();

assert_eq!(*m.get_mut().unwrap(), 2);

```

Square each number of a vector on a different thread:

```rust

use easy_parallel::Parallel;

let v = vec![10, 20, 30];

let squares = Parallel::new()

    .each(0..v.len(), |i| v[i] * v[i])

    .run();

assert_eq!(squares, [100, 400, 900]);

```

Compute the sum of numbers in an array:

```rust

use easy_parallel::Parallel;

fn par_sum(v: &[i32]) -> i32 {

    const THRESHOLD: usize = 2;

    if v.len() <= THRESHOLD {

        v.iter().copied().sum()

    } else {

        let half = (v.len() + 1) / 2;

        let sums = Parallel::new().each(v.chunks(half), par_sum).run();

        sums.into_iter().sum()

    }

}

let v = [1, 25, -4, 10, 8];

assert_eq!(par_sum(&v), 40);

```

## License

Licensed under either of

 * Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)

 * MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)

at your option.

#### Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted

for inclusion in the work by you, as defined in the Apache-2.0 license, shall be

dual licensed as above, without any additional terms or conditions.