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  2. 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.

  3. Thread safety - Wikipedia

    en.wikipedia.org/wiki/Thread_safety

    Thread safe, MT-safe: Use a mutex for every single resource to guarantee the thread to be free of race conditions when those resources are accessed by multiple threads simultaneously. Thread safety guarantees usually also include design steps to prevent or limit the risk of different forms of deadlocks , as well as optimizations to maximize ...

  4. Multithreading (computer architecture) - Wikipedia

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

    Cycle i + 2: instruction j + 3 from thread A and instructions m + 1 and m + 2 from thread C are all simultaneously issued. To distinguish the other types of multithreading from SMT, the term "temporal multithreading" is used to denote when instructions from only one thread can be issued at a time.

  5. Thread (computing) - Wikipedia

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

    In computer programming, single-threading is the processing of one instruction at a time. [11] In the formal analysis of the variables' semantics and process state, the term single threading can be used differently to mean "backtracking within a single thread", which is common in the functional programming community. [12]

  6. 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]

  7. Threaded code - Wikipedia

    en.wikipedia.org/wiki/Threaded_code

    However, threaded code consumes both instruction cache (for the implementation of each operation) as well as data cache (for the bytecode and tables) unlike machine code which only consumes instruction cache; this means threaded code will eat into the budget for the amount of data that can be held for processing by the CPU at any given time.

  8. Context switch - Wikipedia

    en.wikipedia.org/wiki/Context_switch

    The time to switch between two separate processes is called the process switching latency. The time to switch between two threads of the same process is called the thread switching latency. The time from when a hardware interrupt is generated to when the interrupt is serviced is called the interrupt latency.

  9. Spinlock - Wikipedia

    en.wikipedia.org/wiki/Spinlock

    In software engineering, a spinlock is a lock that causes a thread trying to acquire it to simply wait in a loop ("spin") while repeatedly checking whether the lock is available. Since the thread remains active but is not performing a useful task, the use of such a lock is a kind of busy waiting. Once acquired, spinlocks will usually be held ...