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  2. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    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.

  3. Multithreading (computer architecture) - Wikipedia

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

    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 ...

  4. Thread (computing) - Wikipedia

    en.wikipedia.org/wiki/Thread_(computing)

    A process with two threads of execution, running on one processor Program vs. Process vs. Thread Scheduling, Preemption, Context Switching. In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. [1]

  5. Global interpreter lock - Wikipedia

    en.wikipedia.org/wiki/Global_Interpreter_Lock

    Schematic representation of how threads work under GIL. Green - thread holding GIL, red - blocked threads. A global interpreter lock (GIL) is a mechanism used in computer-language interpreters to synchronize the execution of threads so that only one native thread (per process) can execute basic operations (such as memory allocation and reference counting) at a time. [1]

  6. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Deciding the optimal thread pool size is crucial to optimize performance. One benefit of a thread pool over creating a new thread for each task is that thread creation and destruction overhead is restricted to the initial creation of the pool, which may result in better performance and better system stability. Creating and destroying a thread ...

  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).

  8. Threaded code - Wikipedia

    en.wikipedia.org/wiki/Threaded_code

    In computer science, threaded code is a programming technique where the code has a form that essentially consists entirely of calls to subroutines.It is often used in compilers, which may generate code in that form or be implemented in that form themselves.

  9. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    In a multiprocessor system, task parallelism is achieved when each processor executes a different thread (or process) on the same or different data. The threads may execute the same or different code. In the general case, different execution threads communicate with one another as they work, but this is not a requirement.