


C++ Concurrent Programming: How to manage resource allocation in parallel threads?
In multi-threaded programs, C uses mutex locks and atomic types to ensure correct access of threads to shared resources. Mutex lock: The std::mutex class creates a mutex lock, allowing only one thread to access shared resources at a time, preventing data races. Atomic type: std::atomic
C Concurrent Programming: Managing Resource Allocation in Parallel Threads
In multi-threaded programming, managing resource allocation is important to prevent data competition and ensuring program correctness is crucial. C provides several synchronization mechanisms for resource allocation, including mutexes and atomic types.
1. Mutex lock
Mutex lock is a synchronization mechanism that allows only one thread to access shared resources at a time. In C, you can use the std::mutex
class to create a mutex.
Code example:
std::mutex mtx; void thread_function() { std::lock_guard<std::mutex> guard(mtx); // 对共享资源进行操作 }
In this example, std::lock_guard
is a RAII (resource acquisition is initialization) wrapper, which The mutex is locked for the lifetime of the function scope.
2. Atomic types
Atomic types are thread-safe built-in types that can perform atomic operations. They prevent multiple threads from modifying the same variable at the same time, thereby avoiding data races. The C standard library provides some atomic types, such as std::atomic<T>
.
Code example:
std::atomic<int> counter; void thread_function() { counter++; // 执行原子增量操作 }
Practical case
Consider a producer-consumer problem, in which the producer thread generates data, while the consumer thread consumes the data. The resource is a shared queue that needs to be protected by a mutex to prevent data races.
Code example:
std::mutex mtx; std::queue<int> queue; void producer_thread() { while (true) { std::lock_guard<std::mutex> guard(mtx); queue.push(rand()); } } void consumer_thread() { while (true) { std::lock_guard<std::mutex> guard(mtx); if (!queue.empty()) { std::cout << queue.front() << std::endl; queue.pop(); } } } int main() { std::thread t1(producer_thread); std::thread t2(consumer_thread); t1.join(); t2.join(); return 0; }
In this example, a mutex is used to protect the shared queue to prevent producer and consumer threads from accessing the queue at the same time.
The above is the detailed content of C++ Concurrent Programming: How to manage resource allocation in parallel threads?. 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

AI Hentai Generator
Generate AI Hentai for free.

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



In C, the char type is used in strings: 1. Store a single character; 2. Use an array to represent a string and end with a null terminator; 3. Operate through a string operation function; 4. Read or output a string from the keyboard.

The calculation of C35 is essentially combinatorial mathematics, representing the number of combinations selected from 3 of 5 elements. The calculation formula is C53 = 5! / (3! * 2!), which can be directly calculated by loops to improve efficiency and avoid overflow. In addition, understanding the nature of combinations and mastering efficient calculation methods is crucial to solving many problems in the fields of probability statistics, cryptography, algorithm design, etc.

Multithreading in the language can greatly improve program efficiency. There are four main ways to implement multithreading in C language: Create independent processes: Create multiple independently running processes, each process has its own memory space. Pseudo-multithreading: Create multiple execution streams in a process that share the same memory space and execute alternately. Multi-threaded library: Use multi-threaded libraries such as pthreads to create and manage threads, providing rich thread operation functions. Coroutine: A lightweight multi-threaded implementation that divides tasks into small subtasks and executes them in turn.

std::unique removes adjacent duplicate elements in the container and moves them to the end, returning an iterator pointing to the first duplicate element. std::distance calculates the distance between two iterators, that is, the number of elements they point to. These two functions are useful for optimizing code and improving efficiency, but there are also some pitfalls to be paid attention to, such as: std::unique only deals with adjacent duplicate elements. std::distance is less efficient when dealing with non-random access iterators. By mastering these features and best practices, you can fully utilize the power of these two functions.

C language multithreading programming guide: Creating threads: Use the pthread_create() function to specify thread ID, properties, and thread functions. Thread synchronization: Prevent data competition through mutexes, semaphores, and conditional variables. Practical case: Use multi-threading to calculate the Fibonacci number, assign tasks to multiple threads and synchronize the results. Troubleshooting: Solve problems such as program crashes, thread stop responses, and performance bottlenecks.

The C language function name definition includes: return value type, function name, parameter list and function body. Function names should be clear, concise and unified in style to avoid conflicts with keywords. Function names have scopes and can be used after declaration. Function pointers allow functions to be passed or assigned as arguments. Common errors include naming conflicts, mismatch of parameter types, and undeclared functions. Performance optimization focuses on function design and implementation, while clear and easy-to-read code is crucial.

The release_semaphore function in C is used to release the obtained semaphore so that other threads or processes can access shared resources. It increases the semaphore count by 1, allowing the blocking thread to continue execution.

Multithreading is an important technology in computer programming and is used to improve program execution efficiency. In the C language, there are many ways to implement multithreading, including thread libraries, POSIX threads, and Windows API.
