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  2. Object pool pattern - Wikipedia

    en.wikipedia.org/wiki/Object_pool_pattern

    System.Threading.ThreadPool is configured to have a predefined number of threads to allocate. When the threads are returned, they are available for another computation. Thus, one can use threads without paying the cost of creation and disposal of threads. The following shows the basic code of the object pool design pattern implemented using C#.

  3. Virtual thread - Wikipedia

    en.wikipedia.org/wiki/Virtual_thread

    In order to support virtual threads efficiently, the language runtime has to be largely rewritten to prevent blocking calls from holding up an operating system thread assigned to execute a virtual thread [12] and to manage thread stacks. [13] An example of a retrofit of virtual threads is Java Loom. [14]

  4. Lazy initialization - Wikipedia

    en.wikipedia.org/wiki/Lazy_initialization

    In computer programming, lazy initialization is the tactic of delaying the creation of an object, the calculation of a value, or some other expensive process until the first time it is needed.

  5. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [3] Deciding the optimal thread pool size is crucial to optimize performance.

  6. 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 ...

  7. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    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 ...

  8. JavaScript syntax - Wikipedia

    en.wikipedia.org/wiki/JavaScript_syntax

    var x1 = 0; // A global variable, because it is not in any function let x2 = 0; // Also global, this time because it is not in any block function f {var z = 'foxes', r = 'birds'; // 2 local variables m = 'fish'; // global, because it wasn't declared anywhere before function child {var r = 'monkeys'; // This variable is local and does not affect the "birds" r of the parent function. z ...

  9. Component Object Model - Wikipedia

    en.wikipedia.org/wiki/Component_Object_Model

    Calls to an MTA object from a thread in an STA are also marshalled. Dynamically determined apartment Both The server auto-selects STA or MTA at object creation to match the apartment type of the calling thread. [24] This can be useful to avoid marshalling overhead when MTA servers are accessed by a STA thread. Thread Neutral Apartment (NA) Neutral