


How do C++ functions solve the deadlock problem in concurrent programming?
Apr 26, 2024 pm 01:18 PMIn C, the use of mutex functions can solve the deadlock problem in multi-threaded concurrent programming. The specific steps are as follows: create a mutex; when the thread needs to access the shared variable, obtain the mutex; modify the shared variable; release the mutex. This ensures that only one thread accesses the shared variable at any time, effectively preventing deadlock.
Use C functions to solve the deadlock problem in concurrent programming
In multi-threaded parallel programming, deadlock is a A common problem that occurs when two or more threads wait for each other's resources to be released. The following is a code example of how to use functions to solve deadlock problems in C:
#include <mutex> #include <vector> // 創(chuàng)建互斥量 std::mutex mtx; // 定義一個(gè)用互斥量保護(hù)的共享變量 int shared_variable = 0; // 線程處理函數(shù) void thread_function(const int& tid) { // 獲得互斥量 mtx.lock(); // 對(duì)共享變量進(jìn)行修改 shared_variable++; // 釋放互斥量 mtx.unlock(); } int main() { // 創(chuàng)建線程向量 std::vector<std::thread> threads; // 創(chuàng)建 4 個(gè)線程 for (int i = 0; i < 4; ++i) { threads.push_back(std::thread(thread_function, i)); } // 等待所有線程完成后再繼續(xù) for (auto& t : threads) { t.join(); } // 由于所有線程都使用相同的互斥量,避免了死鎖的發(fā)生 return 0; }
In this example, mtx a mutex is used to protect a shared variableshared_variable , ensuring that only one thread can access the variable at any time. When a thread acquires a mutex, it will have exclusive access to shared_variable and other threads must wait for the mutex to be released before continuing.
By using mutexes to coordinate access to shared resources, we avoid threads waiting for each other's resources to be released, thus effectively preventing deadlocks from occurring.
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