How to Implement an ABA Counter in C 11 Using Atomic Compare-and-Swap?
Implementing ABA Counter with C 11 CAS
The ABA problem occurs when a memory location's value is modified twice, with an intervening modification that sets it back to its original value. This can trick a thread relying on atomic compare-and-swap (CAS) operations into believing that a value has not changed, when in fact it has.
To prevent the ABA problem, a common solution is to create a counter that increments with each change to the memory location. This counter is incremented atomically along with the change, so that the CAS operation can check if the counter has also changed since the last operation.
In C 11, the std::atomic_compare_exchange_weak function provides an atomic CAS operation. However, it does not allow for the simultaneous modification of multiple variables, such as the value and the counter.
To implement an ABA counter with C 11 CAS, we need to store the counter and the value in adjacent memory locations, so that a single CAS operation can update both values atomically. This can be achieved using a struct with two members, where the first member is the value and the second member is the counter:
struct Node { std::atomic<int> value; std::atomic<int> counter; };
With this data structure, we can use the std::atomic_compare_exchange_weak function to implement the ABA counter:
void modifyValue(Node& node, int newValue) { int expectedValue = node.value.load(std::memory_order_relaxed); int expectedCounter = node.counter.load(std::memory_order_relaxed); bool success; do { success = node.value.compare_exchange_weak(expectedValue, newValue, std::memory_order_acq_rel); success = node.counter.compare_exchange_weak(expectedCounter, expectedCounter + 1, std::memory_order_acq_rel); } while (!success); }
In this example, the modifyValue function first loads the expected value and counter using the std::memory_order_relaxed memory order, which allows for the values to be read out of order and can lead to tearing.
The std::atomic_compare_exchange_weak function is then used to compare the expected value and counter with the current values in the memory location. If the values match, the new value and counter are written to the location using the std::memory_order_acq_rel memory order, which ensures that the write is visible to other threads after the operation completes.
If the values do not match, the compare_exchange_weak function fails and the loop is executed again, loading the latest expected value and counter before attempting the atomic exchange again.
This implementation ensures that the counter is incremented atomically with the value, preventing the ABA problem and ensuring that threads can safely rely on the value's consistency.
The above is the detailed content of How to Implement an ABA Counter in C 11 Using Atomic Compare-and-Swap?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The history and evolution of C# and C are unique, and the future prospects are also different. 1.C was invented by BjarneStroustrup in 1983 to introduce object-oriented programming into the C language. Its evolution process includes multiple standardizations, such as C 11 introducing auto keywords and lambda expressions, C 20 introducing concepts and coroutines, and will focus on performance and system-level programming in the future. 2.C# was released by Microsoft in 2000. Combining the advantages of C and Java, its evolution focuses on simplicity and productivity. For example, C#2.0 introduced generics and C#5.0 introduced asynchronous programming, which will focus on developers' productivity and cloud computing in the future.

The future development trends of C and XML are: 1) C will introduce new features such as modules, concepts and coroutines through the C 20 and C 23 standards to improve programming efficiency and security; 2) XML will continue to occupy an important position in data exchange and configuration files, but will face the challenges of JSON and YAML, and will develop in a more concise and easy-to-parse direction, such as the improvements of XMLSchema1.1 and XPath3.1.

C Reasons for continuous use include its high performance, wide application and evolving characteristics. 1) High-efficiency performance: C performs excellently in system programming and high-performance computing by directly manipulating memory and hardware. 2) Widely used: shine in the fields of game development, embedded systems, etc. 3) Continuous evolution: Since its release in 1983, C has continued to add new features to maintain its competitiveness.

C The core concepts of multithreading and concurrent programming include thread creation and management, synchronization and mutual exclusion, conditional variables, thread pooling, asynchronous programming, common errors and debugging techniques, and performance optimization and best practices. 1) Create threads using the std::thread class. The example shows how to create and wait for the thread to complete. 2) Synchronize and mutual exclusion to use std::mutex and std::lock_guard to protect shared resources and avoid data competition. 3) Condition variables realize communication and synchronization between threads through std::condition_variable. 4) The thread pool example shows how to use the ThreadPool class to process tasks in parallel to improve efficiency. 5) Asynchronous programming uses std::as

C interacts with XML through third-party libraries (such as TinyXML, Pugixml, Xerces-C). 1) Use the library to parse XML files and convert them into C-processable data structures. 2) When generating XML, convert the C data structure to XML format. 3) In practical applications, XML is often used for configuration files and data exchange to improve development efficiency.

C's memory management, pointers and templates are core features. 1. Memory management manually allocates and releases memory through new and deletes, and pay attention to the difference between heap and stack. 2. Pointers allow direct operation of memory addresses, and use them with caution. Smart pointers can simplify management. 3. Template implements generic programming, improves code reusability and flexibility, and needs to understand type derivation and specialization.

The modern C design model uses new features of C 11 and beyond to help build more flexible and efficient software. 1) Use lambda expressions and std::function to simplify observer pattern. 2) Optimize performance through mobile semantics and perfect forwarding. 3) Intelligent pointers ensure type safety and resource management.

C Learners and developers can get resources and support from StackOverflow, Reddit's r/cpp community, Coursera and edX courses, open source projects on GitHub, professional consulting services, and CppCon. 1. StackOverflow provides answers to technical questions; 2. Reddit's r/cpp community shares the latest news; 3. Coursera and edX provide formal C courses; 4. Open source projects on GitHub such as LLVM and Boost improve skills; 5. Professional consulting services such as JetBrains and Perforce provide technical support; 6. CppCon and other conferences help careers
