search
HomeBackend DevelopmentC++Do Atomic Variables for Complex Data Structures Really Use Locks, and If So, How?

Do Atomic Variables for Complex Data Structures Really Use Locks, and If So, How?

Atomic Variables and Locks

In the realm of multithreaded programming, atomic variables play a crucial role in ensuring consistent data manipulation. However, when it comes to complex data structures like foo with multiple elements, concerns arise regarding the presence of locks within atomic variables.

The Puzzle of Atomic Variables and Locks

Despite the presumptions that larger atomic types necessitate locks, observations suggest otherwise. The following code snippet demonstrates this phenomenon:

#include <iostream>
#include <atomic>

struct foo {
    double a;
    double b;
};

std::atomic<foo> var;

int main()
{
    std::cout <p>The output of this code is:</p>
<pre class="brush:php;toolbar:false">0
16
16

As you can see, the is_lock_free() method returns 0 for the atomic variable var, yet its size remains identical to that of its underlying data structure foo. This has led to questions: Where is the lock stored, and how does it impact multiple instances of the atomic variable?

Unveiling the Lock Mechanism

The common implementation of locks within atomic variables involves a hash table of mutexes. The address of the atomic object serves as a key, assigning it to a unique lock. This hash function ensures that multiple atomic variables map to distinct locks, effectively isolating their access operations.

Potential Implications and Performance Considerations

Collisions within the hash table can result in multiple atomic objects sharing the same lock. While this does not compromise correctness, it can create performance bottlenecks. Instead of independent contention between different objects, multiple threads may compete for access to the shared lock.

Absence of Deadlocks

It's important to note that deadlocks are not possible in this context because std::atomic operations never attempt to acquire locks on multiple objects simultaneously. This design ensures that extra contention does not impact correctness but may affect performance.

Conclusion

Atomic variables employ a lock mechanism for complex data structures to maintain data integrity. These locks are typically implemented as a hash table of mutexes, with the atomic variable's address serving as the key. While shared locks may result in performance issues, deadlocks are prevented by the design of std::atomic functions.

The above is the detailed content of Do Atomic Variables for Complex Data Structures Really Use Locks, and If So, How?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
C# vs. C  : History, Evolution, and Future ProspectsC# vs. C : History, Evolution, and Future ProspectsApr 19, 2025 am 12:07 AM

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.

C# vs. C  : Learning Curves and Developer ExperienceC# vs. C : Learning Curves and Developer ExperienceApr 18, 2025 am 12:13 AM

There are significant differences in the learning curves of C# and C and developer experience. 1) The learning curve of C# is relatively flat and is suitable for rapid development and enterprise-level applications. 2) The learning curve of C is steep and is suitable for high-performance and low-level control scenarios.

C# vs. C  : Object-Oriented Programming and FeaturesC# vs. C : Object-Oriented Programming and FeaturesApr 17, 2025 am 12:02 AM

There are significant differences in how C# and C implement and features in object-oriented programming (OOP). 1) The class definition and syntax of C# are more concise and support advanced features such as LINQ. 2) C provides finer granular control, suitable for system programming and high performance needs. Both have their own advantages, and the choice should be based on the specific application scenario.

From XML to C  : Data Transformation and ManipulationFrom XML to C : Data Transformation and ManipulationApr 16, 2025 am 12:08 AM

Converting from XML to C and performing data operations can be achieved through the following steps: 1) parsing XML files using tinyxml2 library, 2) mapping data into C's data structure, 3) using C standard library such as std::vector for data operations. Through these steps, data converted from XML can be processed and manipulated efficiently.

C# vs. C  : Memory Management and Garbage CollectionC# vs. C : Memory Management and Garbage CollectionApr 15, 2025 am 12:16 AM

C# uses automatic garbage collection mechanism, while C uses manual memory management. 1. C#'s garbage collector automatically manages memory to reduce the risk of memory leakage, but may lead to performance degradation. 2.C provides flexible memory control, suitable for applications that require fine management, but should be handled with caution to avoid memory leakage.

Beyond the Hype: Assessing the Relevance of C   TodayBeyond the Hype: Assessing the Relevance of C TodayApr 14, 2025 am 12:01 AM

C still has important relevance in modern programming. 1) High performance and direct hardware operation capabilities make it the first choice in the fields of game development, embedded systems and high-performance computing. 2) Rich programming paradigms and modern features such as smart pointers and template programming enhance its flexibility and efficiency. Although the learning curve is steep, its powerful capabilities make it still important in today's programming ecosystem.

The C   Community: Resources, Support, and DevelopmentThe C Community: Resources, Support, and DevelopmentApr 13, 2025 am 12:01 AM

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

C# vs. C  : Where Each Language ExcelsC# vs. C : Where Each Language ExcelsApr 12, 2025 am 12:08 AM

C# is suitable for projects that require high development efficiency and cross-platform support, while C is suitable for applications that require high performance and underlying control. 1) C# simplifies development, provides garbage collection and rich class libraries, suitable for enterprise-level applications. 2)C allows direct memory operation, suitable for game development and high-performance computing.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment