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  2. Thread-local storage - Wikipedia

    en.wikipedia.org/wiki/Thread-local_storage

    In C11, <threads.h> also defines a number of functions for retrieving, changing, and destructing a thread-local storage, using names starting with tss_. In C23, thread_local itself becomes a keyword. [2] C++11 introduces the thread_local [3] keyword which can be used in the following cases Namespace level (global) variables; File static variables

  3. Thread safety - Wikipedia

    en.wikipedia.org/wiki/Thread_safety

    Thread-local storage Variables are localized so that each thread has its own private copy. These variables retain their values across subroutine and other code boundaries and are thread-safe since they are local to each thread, even though the code which accesses them might be executed simultaneously by another thread. Immutable objects

  4. Object pool pattern - Wikipedia

    en.wikipedia.org/wiki/Object_pool_pattern

    If this number is reached and a new item is requested, an exception may be thrown, or the thread will be blocked until an object is released back into the pool. The object pool design pattern is used in several places in the standard classes of the .NET Framework. One example is the .NET Framework Data Provider for SQL Server.

  5. Thread-Specific Storage - Wikipedia

    en.wikipedia.org/?title=Thread-Specific_Storage&...

    Retrieved from "https://en.wikipedia.org/w/index.php?title=Thread-Specific_Storage&oldid=216888593"

  6. Local storage - Wikipedia

    en.wikipedia.org/wiki/Local_storage

    Data storage that is directly attached to a compute device; A network-attached storage device accessed via a local network, rather than a wide area network; Local storage, a JavaScript web storage facility allowing websites to store data on a user's device; Local shared object (or Flash cookie), Adobe Flash data stored on a user's computer

  7. Reactor pattern - Wikipedia

    en.wikipedia.org/wiki/Reactor_pattern

    The reactor software design pattern is an event handling strategy that can respond to many potential service requests concurrently.The pattern's key component is an event loop, running in a single thread or process, which demultiplexes incoming requests and dispatches them to the correct request handler.

  8. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Using a thread pool may be useful even putting aside thread startup time. There are implementations of thread pools that make it trivial to queue up work, control concurrency and sync threads at a higher level than can be done easily when manually managing threads. [4] [5] In these cases the performance benefits of use may be secondary.

  9. pthreads - Wikipedia

    en.wikipedia.org/wiki/Pthreads

    Each flow of work is referred to as a thread, and creation and control over these flows is achieved by making calls to the POSIX Threads API. POSIX Threads is an API defined by the Institute of Electrical and Electronics Engineers (IEEE) standard POSIX .1c, Threads extensions (IEEE Std 1003.1c-1995) .

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