(); const size_t num_threads = std::thread::hardware_concurrency(); // 获取可用线程数 std::vector<std::future<int>> thread_results; std::vector<std::thread> threads; size_t chunk_size = data_size / num_threads; size_
1.默认构造函数 thread() noexcept 一个空的std::thread执行对象 2.初始化构造函数 template explicit thread(Fn&& fn, Args&&… args); 创建std::thread执行对象,线程调用threadFun函数,函数参数为args。 3.拷贝构造函数 thread(const thread&) = delete; 拷贝构造函数被禁用,std::thread对象不可拷贝构造 4.M...
#include <thread> #include <future> void func(promise<float> && prms) { prms.set_value(0.125); } 主要是: vector<pair<thread, future<float>>> threads; for (int i = 0; i < std::thread::hardware_concurrency(); i++) { promise<float> prms; future<float> fut = prms.get_future(...
class AsioIOServicePool { public: using IOService = boost::asio::io_service; using Work = boost::asio::io_service::work; using WorkPtr = std::unique_ptr<Work>; AsioIOServicePool(std::size_t size = std::thread::hardware_concurrency()) : ioServices_(size), works_(size), nextIOServ...
std::thread 构造 (1). 默认构造函数,创建一个空的 thread 执行对象。 (2). 初始化构造函数,创建一个 thread对象,该 thread对象可被 joinable,新产生的线程会调用 fn 函数,该函数的参数由 args 给出。 (3). 拷贝构造函数(被禁用),意味着 thread 不可被拷贝构造。
()//线程玩法111 //改名了{auton=thread::hardware_concurrency();cout<<"You CPU is "<<n<<endl;//坚持CPU核心cout<<"You CPU thread "<<get_id()<<endl;//获取线程ID//创建线程threadthreadl(Msg);threadthread2(Msg);threadl.join();//执行 必须等待执行thread2.join();//执行getchar();...
We then show that correct behaviour can be restored by imposing additional intra-thread constraints among the memory operations. In addition, we show that we can support the pipelining of loops containing atomics by injecting further inter-iteration constraints. We implement our approach on two ...
• But concurrent programming is necessary to utilize parallel hardware. • Some success in implicitly discovering concurrency in sequential programs. • Fundamental limits to finding parallelism and only for certain kinds of problems. • Alternatively, programmer explicitly thinks about and speci...
an arbitrarily large number of user-level threads is multiplexed onto a lesser number of kernel execution vehicles. Kernel execution vehicles are also known as virtual processors. Whenever a user-level thread makes a blocking system call, the kernel execution vehicle it is using will become blocked...
In order to improve load scalability, some applications employ a different type of MT architecture: they create one or more thread(s) per task rather than one thread per connection. For example, one small group of threads may be responsible for accepting client connections, another for request ...