Expand description

Rayon-core houses the core stable APIs of Rayon.

These APIs have been mirrored in the Rayon crate and it is recommended to use these from there.

join is used to take two closures and potentially run them in parallel.

  • It will run in parallel if task B gets stolen before task A can finish.
  • It will run sequentially if task A finishes before task B is stolen and can continue on task B.

scope creates a scope in which you can run any number of parallel tasks. These tasks can spawn nested tasks and scopes, but given the nature of work stealing, the order of execution can not be guaranteed. The scope will exist until all tasks spawned within the scope have been completed.

spawn add a task into the ‘static’ or ‘global’ scope, or a local scope created by the scope() function.

ThreadPool can be used to create your own thread pools (using ThreadPoolBuilder) or to customize the global one. Tasks spawned within the pool (using install(), join(), etc.) will be added to a deque, where it becomes available for work stealing from other threads in the local threadpool.

Restricting multiple versions

In order to ensure proper coordination between threadpools, and especially to make sure there’s only one global threadpool, rayon-core is actively restricted from building multiple versions of itself into a single target. You may see a build error like this in violation:

error: native library `rayon-core` is being linked to by more
than one package, and can only be linked to by one package

While we strive to keep rayon-core semver-compatible, it’s still possible to arrive at this situation if different crates have overly restrictive tilde or inequality requirements for rayon-core. The conflicting requirements will need to be resolved before the build will succeed.

Modules

Allows access to the Rayon’s thread local value which is preserved when moving jobs across threads

Structs

ConfigurationDeprecated

Contains the rayon thread pool configuration. Use ThreadPoolBuilder instead.

Provides the calling context to a closure called by join_context.

Represents a fork-join scope which can be used to spawn any number of tasks. See scope() for more information.

Represents a fork-join scope which can be used to spawn any number of tasks. Those spawned from the same thread are prioritized in relative FIFO order. See scope_fifo() for more information.

Thread builder used for customization via ThreadPoolBuilder::spawn_handler.

Represents a user created thread-pool.

Error when initializing a thread pool.

Used to create a new ThreadPool or to configure the global rayon thread pool.

Holds worker-locals values for each thread in a thread pool. You can only access the worker local value through the Deref impl on the thread pool it was constructed on. It will panic otherwise

Functions

Returns the number of threads in the current registry. If this code is executing within a Rayon thread-pool, then this will be the number of threads for the thread-pool of the current thread. Otherwise, it will be the number of threads for the global thread-pool.

If called from a Rayon worker thread, indicates whether that thread’s local deque still has pending tasks. Otherwise, returns None. For more information, see the ThreadPool::current_thread_has_pending_tasks() method.

If called from a Rayon worker thread, returns the index of that thread within its current pool; if not called from a Rayon thread, returns None.

Creates a “fork-join” scope s and invokes the closure with a reference to s. This closure can then spawn asynchronous tasks into s. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks into s. When the closure returns, it will block until all tasks that have been spawned into s complete.

Creates a “fork-join” scope s with FIFO order, and invokes the closure with a reference to s. This closure can then spawn asynchronous tasks into s. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks into s. When the closure returns, it will block until all tasks that have been spawned into s complete.

initializeDeprecated

Deprecated in favor of ThreadPoolBuilder::build_global.

Takes two closures and potentially runs them in parallel. It returns a pair of the results from those closures.

Identical to join, except that the closures have a parameter that provides context for the way the closure has been called, especially indicating whether they’re executing on a different thread than where join_context was called. This will occur if the second job is stolen by a different thread, or if join_context was called from outside the thread pool to begin with.

Mark a Rayon worker thread as blocked. This triggers the deadlock handler if no other worker thread is active

Mark a previously blocked Rayon worker thread as unblocked

Returns the maximum number of threads that Rayon supports in a single thread-pool.

Creates a “fork-join” scope s and invokes the closure with a reference to s. This closure can then spawn asynchronous tasks into s. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks into s. When the closure returns, it will block until all tasks that have been spawned into s complete.

Creates a “fork-join” scope s with FIFO order, and invokes the closure with a reference to s. This closure can then spawn asynchronous tasks into s. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks into s. When the closure returns, it will block until all tasks that have been spawned into s complete.

Fires off a task into the Rayon threadpool in the “static” or “global” scope. Just like a standard thread, this task is not tied to the current stack frame, and hence it cannot hold any references other than those with 'static lifetime. If you want to spawn a task that references stack data, use the scope() function to create a scope.

Fires off a task into the Rayon threadpool in the “static” or “global” scope. Just like a standard thread, this task is not tied to the current stack frame, and hence it cannot hold any references other than those with 'static lifetime. If you want to spawn a task that references stack data, use the scope_fifo() function to create a scope.