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In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program. Often also called a replicated workers or worker-crew model , [ 1 ] a thread pool maintains multiple threads waiting for tasks to be allocated for concurrent execution by the supervising program.
The event dispatching thread (EDT) is a background thread used in Java to process events from the Abstract Window Toolkit (AWT) graphical user interface event queue. It is an example of the generic concept of event-driven programming , that is popular in many other contexts than Java, for example, web browsers , or web servers .
As an example of the first possibility, in C++11, a thread that needs the value of a future can block until it is available by calling the wait() or get() member functions. A timeout can also be specified on the wait using the wait_for() or wait_until() member functions to avoid indefinite blocking.
enter the monitor: enter the method if the monitor is locked add this thread to e block this thread else lock the monitor leave the monitor: schedule return from the method wait c: add this thread to c.q schedule block this thread notify c: if there is a thread waiting on c.q select and remove one thread t from c.q (t is called "the notified ...
Functions with promises also have promise aggregation methods that allow the program to await multiple promises at once or in some special pattern (such as C#'s Task.WhenAll(), [1]: 174–175 [13]: 664–665 which returns a valueless Task that resolves when all of the tasks in the arguments have resolved). Many promise types also have ...
The actual logic is contained in event-handler routines. These routines handle the events to which the main program will respond. For example, a single left-button mouse-click on a command button in a GUI program may trigger a routine that will open another window, save data to a database or exit the application.
Java—thread class or Runnable interface; Julia—"concurrent programming primitives: Tasks, async-wait, Channels." [15] JavaScript—via web workers, in a browser environment, promises, and callbacks. JoCaml—concurrent and distributed channel based, extension of OCaml, implements the join-calculus of processes
The Java programming language and the Java virtual machine (JVM) is designed to support concurrent programming. All execution takes place in the context of threads. Objects and resources can be accessed by many separate threads. Each thread has its own path of execution, but can potentially access any object in the program.