Crate rayon_core
source · [−]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.
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 threadpool, 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 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.
Structs
broadcast
.ThreadPoolBuilder
instead.join_context
.scope()
for more information.scope_fifo()
for more information.ThreadPoolBuilder::spawn_handler
.ThreadPool
or to configure the global rayon thread pool.Enums
yield_now()
or yield_local()
.Functions
op
within every thread in the current threadpool. If this is
called from a non-Rayon thread, it will execute in the global threadpool.
Any attempts to use join
, scope
, or parallel iterators will then operate
within that threadpool. When the call has completed on each thread, returns
a vector containing all of their return values.None
. For more information, see the
ThreadPool::current_thread_has_pending_tasks()
method.None
.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.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.ThreadPoolBuilder::build_global
.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.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.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.'static
lifetime. If you want
to spawn a task that references stack data, use the scope()
function to create a scope.move
closure).'static
lifetime. If you want
to spawn a task that references stack data, use the scope_fifo()
function to create a scope.