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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 .
Each thread can be scheduled [5] on a different CPU core [6] or use time-slicing on a single hardware processor, or time-slicing on many hardware processors. There is no general solution to how Java threads are mapped to native OS threads. Every JVM implementation can do this differently. Each thread is associated with an instance of the class ...
A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a program. A parallel language is able to express programs that are executable on more than one processor.
Task parallelism emphasizes the distributed (parallelized) nature of the processing (i.e. threads), as opposed to the data (data parallelism). Most real programs fall somewhere on a continuum between task parallelism and data parallelism. [3] Thread-level parallelism (TLP) is the parallelism inherent in an application that runs multiple threads ...
Real-time Java is a catch-all term for a combination of technologies that enables programmers to write programs that meet the demands of real-time systems in the Java programming language. Java's sophisticated memory management , native support for threading and concurrency, type safety , and relative simplicity have created a demand for its ...
Only when the data for the previous thread had arrived, would the previous thread be placed back on the list of ready-to-run threads. For example: Cycle i: instruction j from thread A is issued. Cycle i + 1: instruction j + 1 from thread A is issued. Cycle i + 2: instruction j + 2 from thread A is issued, which is a load instruction that misses ...
Concurrent components communicate by altering the contents of shared memory locations (exemplified by Java and C#). This style of concurrent programming usually needs the use of some form of locking (e.g., mutexes, semaphores, or monitors) to coordinate between threads. A program that properly implements any of these is said to be thread-safe.
Eager thread-specific futures can be straightforwardly implemented in non-thread-specific futures, by creating a thread to calculate the value at the same time as creating the future. In this case it is desirable to return a read-only view to the client, so that only the newly created thread is able to resolve this future.