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 thread pool.
§Global fallback when threading is unsupported
Rayon uses std APIs for threading, but some targets have incomplete implementations that
always return Unsupported errors. The WebAssembly wasm32-unknown-unknown and wasm32-wasi
targets are notable examples of this. Rather than panicking on the unsupported error when
creating the implicit global thread pool, Rayon configures a fallback mode instead.
This fallback mode mostly functions as if it were using a single-threaded “pool”, like setting
RAYON_NUM_THREADS=1. For example, join will execute its two closures sequentially, since
there is no other thread to share the work. However, since the pool is not running independent
of the main thread, non-blocking calls like spawn may not execute at all, unless a lower-
priority call like broadcast gives them an opening. The fallback mode does not try to emulate
anything like thread preemption or async task switching, but yield_now or yield_local
can also volunteer execution time.
Explicit ThreadPoolBuilder methods always report their error without any fallback.
§Restricting multiple versions
In order to ensure proper coordination between thread pools, and especially
to make sure there’s only one global thread pool, 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 packageWhile 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.
Structs§
- BroadcastContext 
- Provides context to a closure called by broadcast.
- ConfigurationDeprecated 
- Contains the rayon thread pool configuration. Use ThreadPoolBuilderinstead.
- FnContext
- Provides the calling context to a closure called by join_context.
- Scope
- Represents a fork-join scope which can be used to spawn any number of tasks.
See scope()for more information.
- ScopeFifo 
- 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.
- ThreadBuilder 
- Thread builder used for customization via ThreadPoolBuilder::spawn_handler().
- ThreadPool 
- Represents a user-created thread pool.
- ThreadPool Build Error 
- Error when initializing a thread pool.
- ThreadPool Builder 
- Used to create a new ThreadPoolor to configure the global rayon thread pool.
Enums§
- Yield
- Result of yield_now()oryield_local().
Functions§
- broadcast
- Executes opwithin every thread in the current thread pool. If this is called from a non-Rayon thread, it will execute in the global thread pool. Any attempts to usejoin,scope, or parallel iterators will then operate within that thread pool. When the call has completed on each thread, returns a vector containing all of their return values.
- current_num_ threads 
- 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.
- current_thread_ has_ pending_ tasks 
- 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 theThreadPool::current_thread_has_pending_tasks()method.
- current_thread_ index 
- 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.
- in_place_ scope 
- Creates a “fork-join” scope sand invokes the closure with a reference tos. This closure can then spawn asynchronous tasks intos. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks intos. When the closure returns, it will block until all tasks that have been spawned intoscomplete.
- in_place_ scope_ fifo 
- Creates a “fork-join” scope swith FIFO order, and invokes the closure with a reference tos. This closure can then spawn asynchronous tasks intos. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks intos. When the closure returns, it will block until all tasks that have been spawned intoscomplete.
- initializeDeprecated 
- Deprecated in favor of ThreadPoolBuilder::build_global.
- join
- Takes two closures and potentially runs them in parallel. It returns a pair of the results from those closures.
- join_context 
- 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 wherejoin_contextwas called. This will occur if the second job is stolen by a different thread, or ifjoin_contextwas called from outside the thread pool to begin with.
- max_num_ threads 
- Returns the maximum number of threads that Rayon supports in a single thread pool.
- scope
- Creates a “fork-join” scope sand invokes the closure with a reference tos. This closure can then spawn asynchronous tasks intos. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks intos. When the closure returns, it will block until all tasks that have been spawned intoscomplete.
- scope_fifo 
- Creates a “fork-join” scope swith FIFO order, and invokes the closure with a reference tos. This closure can then spawn asynchronous tasks intos. Those tasks may run asynchronously with respect to the closure; they may themselves spawn additional tasks intos. When the closure returns, it will block until all tasks that have been spawned intoscomplete.
- spawn
- Puts the task into the Rayon thread pool’s job queue 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 'staticlifetime. If you want to spawn a task that references stack data, use thescope()function to create a scope.
- spawn_broadcast 
- Spawns an asynchronous task on every thread in this thread pool. This task
will run in the implicit, global scope, which means that it may outlast the
current stack frame – therefore, it cannot capture any references onto the
stack (you will likely need a moveclosure).
- spawn_fifo 
- Fires off a task into the Rayon thread pool 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 'staticlifetime. If you want to spawn a task that references stack data, use thescope_fifo()function to create a scope.
- yield_local 
- Cooperatively yields execution to local Rayon work.
- yield_now 
- Cooperatively yields execution to Rayon.