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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. Module pattern - Wikipedia

    en.wikipedia.org/wiki/Module_pattern

    In Python, the pattern is built into the language, and each .py file is automatically a module. The same applies to Ada, where the package can be considered a module (similar to a static class). Definition & Structure

  5. 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) .

  6. Multiton pattern - Wikipedia

    en.wikipedia.org/wiki/Multiton_pattern

    In software engineering, the multiton pattern is a design pattern which generalizes the singleton pattern.Whereas the singleton allows only one instance of a class to be created, the multiton pattern allows for the controlled creation of multiple instances, which it manages through the use of a map.

  7. Talk:Singleton pattern - Wikipedia

    en.wikipedia.org/wiki/Talk:Singleton_pattern

    A slightly more advanced discussion would include memory barriers or thread local storage as faster implementations of the thread-safe lazy-initialized singleton. -Josh —Preceding unsigned comment added by 12.108.188.134 20:42, 23 September 2008 (UTC)

  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. Flyweight pattern - Wikipedia

    en.wikipedia.org/wiki/Flyweight_pattern

    As a result, flyweight objects can: [5] store intrinsic state that is invariant, context-independent and shareable (for example, the code of character 'A' in a given character set) provide an interface for passing in extrinsic state that is variant, context-dependent and can't be shared (for example, the position of character 'A' in a text ...