add mod level docs for sync

Signed-off-by: Yoshua Wuyts <yoshuawuyts@gmail.com>
yoshuawuyts-patch-1
Yoshua Wuyts 5 years ago
parent 4cab868899
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@ -4,6 +4,149 @@
//!
//! [`std::sync`]: https://doc.rust-lang.org/std/sync/index.html
//!
//! ## The need for synchronization
//!
//! Conceptually, a Rust program is a series of operations which will
//! be executed on a computer. The timeline of events happening in the
//! program is consistent with the order of the operations in the code.
//!
//! Consider the following code, operating on some global static variables:
//!
//! ```rust
//! static mut A: u32 = 0;
//! static mut B: u32 = 0;
//! static mut C: u32 = 0;
//!
//! fn main() {
//! unsafe {
//! A = 3;
//! B = 4;
//! A = A + B;
//! C = B;
//! println!("{} {} {}", A, B, C);
//! C = A;
//! }
//! }
//! ```
//!
//! It appears as if some variables stored in memory are changed, an addition
//! is performed, result is stored in `A` and the variable `C` is
//! modified twice.
//!
//! When only a single thread is involved, the results are as expected:
//! the line `7 4 4` gets printed.
//!
//! As for what happens behind the scenes, when optimizations are enabled the
//! final generated machine code might look very different from the code:
//!
//! - The first store to `C` might be moved before the store to `A` or `B`,
//! _as if_ we had written `C = 4; A = 3; B = 4`.
//!
//! - Assignment of `A + B` to `A` might be removed, since the sum can be stored
//! in a temporary location until it gets printed, with the global variable
//! never getting updated.
//!
//! - The final result could be determined just by looking at the code
//! at compile time, so [constant folding] might turn the whole
//! block into a simple `println!("7 4 4")`.
//!
//! The compiler is allowed to perform any combination of these
//! optimizations, as long as the final optimized code, when executed,
//! produces the same results as the one without optimizations.
//!
//! Due to the [concurrency] involved in modern computers, assumptions
//! about the program's execution order are often wrong. Access to
//! global variables can lead to nondeterministic results, **even if**
//! compiler optimizations are disabled, and it is **still possible**
//! to introduce synchronization bugs.
//!
//! Note that thanks to Rust's safety guarantees, accessing global (static)
//! variables requires `unsafe` code, assuming we don't use any of the
//! synchronization primitives in this module.
//!
//! [constant folding]: https://en.wikipedia.org/wiki/Constant_folding
//! [concurrency]: https://en.wikipedia.org/wiki/Concurrency_(computer_science)
//!
//! ## Out-of-order execution
//!
//! Instructions can execute in a different order from the one we define, due to
//! various reasons:
//!
//! - The **compiler** reordering instructions: If the compiler can issue an
//! instruction at an earlier point, it will try to do so. For example, it
//! might hoist memory loads at the top of a code block, so that the CPU can
//! start [prefetching] the values from memory.
//!
//! In single-threaded scenarios, this can cause issues when writing
//! signal handlers or certain kinds of low-level code.
//! Use [compiler fences] to prevent this reordering.
//!
//! - A **single processor** executing instructions [out-of-order]:
//! Modern CPUs are capable of [superscalar] execution,
//! i.e., multiple instructions might be executing at the same time,
//! even though the machine code describes a sequential process.
//!
//! This kind of reordering is handled transparently by the CPU.
//!
//! - A **multiprocessor** system executing multiple hardware threads
//! at the same time: In multi-threaded scenarios, you can use two
//! kinds of primitives to deal with synchronization:
//! - [memory fences] to ensure memory accesses are made visible to
//! other CPUs in the right order.
//! - [atomic operations] to ensure simultaneous access to the same
//! memory location doesn't lead to undefined behavior.
//!
//! [prefetching]: https://en.wikipedia.org/wiki/Cache_prefetching
//! [compiler fences]: https://doc.rust-lang.org/std/sync/atomic/fn.compiler_fence.html
//! [out-of-order]: https://en.wikipedia.org/wiki/Out-of-order_execution
//! [superscalar]: https://en.wikipedia.org/wiki/Superscalar_processor
//! [memory fences]: https://doc.rust-lang.org/std/sync/atomic/fn.fence.html
//! [atomic operations]: https://doc.rust-lang.org/std/sync/atomic/index.html
//!
//! ## Higher-level synchronization objects
//!
//! Most of the low-level synchronization primitives are quite error-prone and
//! inconvenient to use, which is why async-std also exposes some
//! higher-level synchronization objects.
//!
//! These abstractions can be built out of lower-level primitives.
//! For efficiency, the sync objects in async-std are usually
//! implemented with help from the scheduler, which is
//! able to reschedule the tasks while they are blocked on acquiring
//! a lock.
//!
//! The following is an overview of the available synchronization
//! objects:
//!
//! - [`Arc`]: Atomically Reference-Counted pointer, which can be used
//! in multithreaded environments to prolong the lifetime of some
//! data until all the threads have finished using it.
//!
//! - [`Barrier`]: Ensures multiple threads will wait for each other
//! to reach a point in the program, before continuing execution all
//! together.
//!
//! - [`channel`]: Multi-producer, multi-consumer queues, used for
//! message-based communication. Can provide a lightweight
//! inter-task synchronisation mechanism, at the cost of some
//! extra memory.
//!
//! - [`Mutex`]: Mutual Exclusion mechanism, which ensures that at
//! most one task at a time is able to access some data.
//!
//! - [`RwLock`]: Provides a mutual exclusion mechanism which allows
//! multiple readers at the same time, while allowing only one
//! writer at a time. In some cases, this can be more efficient than
//! a mutex.
//!
//! [`Arc`]: crate::sync::Arc
//! [`Barrier`]: crate::sync::Barrier
//! [`Condvar`]: crate::sync::Condvar
//! [`channel`]: fn.channel.html
//! [`Mutex`]: crate::sync::Mutex
//! [`Once`]: crate::sync::Once
//! [`RwLock`]: crate::sync::RwLock
//!
//! # Examples
//!
//! Spawn a task that updates an integer protected by a mutex:

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