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!