par-iter

A parallel iterator for Rust. This is a fork of rayon with the goal of switching parallelization library from rayon-core to chili or disable parallelization. If you want to switch parallelization library, you can refer to the documentation of par-core.

Usage

If you are using only parallel iterators, you can just replace all rayon:: to par_iter:: using IDE feature.

use par_iter::prelude::*;

License

• This code is a fork of rayon. rayon is Apache-2.0/MIT licensed.

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

lib.rs:

Fork of rayon to use parallel iterators with chili. See par-core for more details.

Rayon is a data-parallelism library that makes it easy to convert sequential computations into parallel.

It is lightweight and convenient for introducing parallelism into existing code. It guarantees data-race free executions and takes advantage of parallelism when sensible, based on work-load at runtime.

How to use Rayon

There are two ways to use Rayon:

• High-level parallel constructs are the simplest way to use Rayon and also typically the most efficient.
  • Parallel iterators make it easy to convert a sequential iterator to execute in parallel.
    • The ParallelIterator trait defines general methods for all parallel iterators.
    • The IndexedParallelIterator trait adds methods for iterators that support random access.
  • The par_sort method sorts &mut [T] slices (or vectors) in parallel.
  • par_extend can be used to efficiently grow collections with items produced by a parallel iterator.
• Custom tasks let you divide your work into parallel tasks yourself.
  • join is used to subdivide a task into two pieces.
  • scope creates a scope within which you can create any number of parallel tasks.
  • ThreadPoolBuilder can be used to create your own thread pools or customize the global one.

Basic usage and the Rayon prelude

First, you will need to add rayon to your Cargo.toml.

Next, to use parallel iterators or the other high-level methods, you need to import several traits. Those traits are bundled into the module par_iter::prelude. It is recommended that you import all of these traits at once by adding use par_iter::prelude::* at the top of each module that uses Rayon methods.

These traits give you access to the par_iter method which provides parallel implementations of many iterative functions such as map, for_each, filter, fold, and more.

Crate Layout

Rayon extends many of the types found in the standard library with parallel iterator implementations. The modules in the rayon crate mirror std itself: so, e.g., the option module in Rayon contains parallel iterators for the Option type, which is found in the option module of std. Similarly, the collections module in Rayon offers parallel iterator types for the collections from std. You will rarely need to access these submodules unless you need to name iterator types explicitly.

Targets without threading

Rayon has limited support for targets without std threading implementations. See the rayon_core documentation for more information about its global fallback.

Other questions?

See the Rayon FAQ.