Add links to the free "Rust Atomics and Locks" ebook (#7416)

* Add links to the free "Rust Atomics and Locks" ebook
pull/7424/head
0x009922 1 week ago committed by GitHub
parent ec668a3a0b
commit 960218235d
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
  1. 6
      src/data/roadmaps/rust/content/104-concurrency-parallelism/101-atomic-operations.md
  2. 6
      src/data/roadmaps/rust/content/104-concurrency-parallelism/102-threads.md

@ -1,3 +1,7 @@
# Atomic Operations and Memory Barriers
Atomic operations in Rust are low-level types that support lock-free concurrent programming. These operations are atomic because they complete in a single operation rather than being interruptible. In Rust, atomic types provide primitive shared-memory communication between threads, and can also be used for non-blocking data structures and are supported using machine instructions directly. They form the building blocks for other, higher-level concurrency abstractions. It includes variety of atomic operations such as `store`, `load`, `swap`, `fetch_add`, `compare_and_swap` and more, which are operations performed in a single, uninterrupted step.
Atomic operations in Rust are low-level types that support lock-free concurrent programming. These operations are atomic because they complete in a single operation rather than being interruptible. In Rust, atomic types provide primitive shared-memory communication between threads, and can also be used for non-blocking data structures and are supported using machine instructions directly. They form the building blocks for other, higher-level concurrency abstractions. It includes variety of atomic operations such as `store`, `load`, `swap`, `fetch_add`, `compare_and_swap` and more, which are operations performed in a single, uninterrupted step.
Learn more from the following links:
- [@article@Rust Atomics and Locks - Low-Level Concurrency in Practice](https://marabos.nl/atomics/)

@ -1,3 +1,7 @@
# Threads, Channels, and Message Passing
Threads are the smallest unit of computing that can be scheduled by an operating system. They live in the context of a process, and each thread within a process shares the process's resources including memory and file handles. In Rust, the `std::thread` module allows you to have direct control over threads. This model of concurrency is known as 1:1, mapping one operating system thread to one language thread. You can write concurrent programs in Rust using threads in a similar way as most other languages. You start threads with `std::thread::spawn` and wait for them to finish with `join`.
Threads are the smallest unit of computing that can be scheduled by an operating system. They live in the context of a process, and each thread within a process shares the process's resources including memory and file handles. In Rust, the `std::thread` module allows you to have direct control over threads. This model of concurrency is known as 1:1, mapping one operating system thread to one language thread. You can write concurrent programs in Rust using threads in a similar way as most other languages. You start threads with `std::thread::spawn` and wait for them to finish with `join`.
Learn more from the following links:
- [@article@Rust Atomics and Locks - Low-Level Concurrency in Practice](https://marabos.nl/atomics/)

Loading…
Cancel
Save