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  2. Join-pattern - Wikipedia

    en.wikipedia.org/wiki/Join-pattern

    Join Java [30] is a language based on the Java programming language allowing the use of the join calculus. It introduces three new language constructs: Join methods is defined by two or more Join fragments. A Join method will execute once all the fragments of the Join pattern have been called.

  3. Java concurrency - Wikipedia

    en.wikipedia.org/wiki/Java_concurrency

    A thread can achieve mutual exclusion either by entering a synchronized block or method, which acquires an implicit lock, [14] [2] or by acquiring an explicit lock (such as the ReentrantLock from the java.util.concurrent.locks package [15]). Both approaches have the same implications for memory behavior.

  4. Fork–join model - Wikipedia

    en.wikipedia.org/wiki/Fork–join_model

    Implementations of the fork–join model will typically fork tasks, fibers or lightweight threads, not operating-system-level "heavyweight" threads or processes, and use a thread pool to execute these tasks: the fork primitive allows the programmer to specify potential parallelism, which the implementation then maps onto actual parallel execution. [1]

  5. Synchronization (computer science) - Wikipedia

    en.wikipedia.org/wiki/Synchronization_(computer...

    After time t, thread 1 reaches barrier3 but it will have to wait for threads 2 and 3 and the correct data again. Thus, in barrier synchronization of multiple threads there will always be a few threads that will end up waiting for other threads as in the above example thread 1 keeps waiting for thread 2 and 3.

  6. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java" by Binildas C. A. "Thread pools and work queues" by Brian Goetz "A Method of Worker Thread Pooling" by Pradeep Kumar Sahu "Work Queue" by Uri Twig: C++ code demonstration of pooled threads executing a work queue. "Windows Thread Pooling and Execution Chaining"

  7. Work stealing - Wikipedia

    en.wikipedia.org/wiki/Work_stealing

    In parallel computing, work stealing is a scheduling strategy for multithreaded computer programs. It solves the problem of executing a dynamically multithreaded computation, one that can "spawn" new threads of execution, on a statically multithreaded computer, with a fixed number of processors (or cores).

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    mail.aol.com

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  9. Active object - Wikipedia

    en.wikipedia.org/wiki/Active_object

    The goal is to introduce concurrency, by using asynchronous method invocation and a scheduler for handling requests. [2] The pattern consists of six elements: [3] A proxy, which provides an interface towards clients with publicly accessible methods. An interface which defines the method request on an active object. A list of pending requests ...