std::shared_future<T2> shared_future2 = future2.share(); std::vectorstd::shared_future<void> futures; futures.push_back(shared_future1); futures.push_back(shared_future2); 接下来,可以使用 std::shared_future 的成员函数
unsignedtask_count=std::thread::hardware_concurrency()*120;std::vector<std::future<int>>tasks;st...
std::vector<std::future<void>> pending_futures; myResonseType processRequest(args...) { //Do some processing and valuate the address and the message... //Sending the e-mail async auto f = std::async(std::launch::async, sendMail, address, message); // transfer the future's shared s...
这个类型就是void。检测任务使用std::promise<void>，反应任务使用std::future<void>或者std::shared_fu...
(); return res; } private: std::vector<std::thread> workers; std::queue<std::function<void()>> tasks; std::mutex queue_mutex; std::condition_variable condition; bool stop; }; int main() { ThreadPool pool(4); // 提交一个异步任务并获取 std::future 对象 ...
假设我有一个异步函数映射原语,它以一个std::vector作为输入,并将一个std::future返回给我选择的一个Container作为输出:问题是async_for_each返回std::future<void>,而async_map返回std::future<Container>,而void 浏览2提问于2015-05-13得票数 5
-> std::future<typename std::result_of<F(Args...)>::type>; ~ThreadPool(); private: // 消费者线程 std::vector< std::thread > workers; //任务队列 std::queue< std::function<void()> > tasks; //互斥量 std::mutex queue_mutex; ...
std::vector<std::future<double>>fut(cycCount);//速度会比单流程方式快2-3倍 const int32_t threadNum = static_cast<int32_t>(std::thread::hardware_concurrency()); strmsg.Format("%d", threadNum); //threadNum 等于CPU核心数,可以根据这个开这么多个异步线程 ...
(), v.begin() + v.size() / 2);std::vector<T> v2(v.begin() + v.size() / 2, v.end());std::future<void> fut = std::async([&v1] { parallel_sort(v1); });parallel_sort(v2);fut.get();std::merge(v1.begin(), v1.end(), v2.begin(), v2.end(), v.begin());...
();std::vector<std::thread> workers;std::queue<std::function<void()>> tasks;std::mutex tasks_mutex;std::condition_variable tasks_cv;bool stop;};ThreadPool::ThreadPool(size_t num_threads) : stop(false) {for (size_t i = 0; i < num_threads; ++i) {workers.emplace_back(&Thread...