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  2. Iterator pattern - Wikipedia

    en.wikipedia.org/wiki/Iterator_pattern

    In object-oriented programming, the iterator pattern is a design pattern in which an iterator is used to traverse a container and access the container's elements. The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled.

  3. JSDoc - Wikipedia

    en.wikipedia.org/wiki/JSDoc

    JSDoc differs from Javadoc, in that it is specialized to handle JavaScript's dynamic behaviour. [1] An early example using a Javadoc-like syntax to document JavaScript was released in 1999 with the Netscape/Mozilla project Rhino, a JavaScript run-time system written in Java. It included a toy "JSDoc" HTML generator, versioned up to 1.3, as an ...

  4. Thread-local storage - Wikipedia

    en.wikipedia.org/wiki/Thread-local_storage

    In computer programming, thread-local storage (TLS) is a memory management method that uses static or global memory local to a thread. The concept allows storage of data that appears to be global in a system with separate threads. Many systems impose restrictions on the size of the thread-local memory block, in fact often rather tight limits.

  5. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    The format is best suited for small data chunks that don't exceed a few megabytes and can be loaded/sent into a memory right away and therefore is not a streamable format. [9] The library doesn't provide compression out of the box. The format also isn't well supported in non–object-oriented languages (e.g. Fortran). [10]

  6. 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.

  7. Thread block (CUDA programming) - Wikipedia

    en.wikipedia.org/wiki/Thread_block_(CUDA...

    Every thread in CUDA is associated with a particular index so that it can calculate and access memory locations in an array. Consider an example in which there is an array of 512 elements. One of the organization structure is taking a grid with a single block that has a 512 threads.

  8. 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]

  9. Concurrent hash table - Wikipedia

    en.wikipedia.org/wiki/Concurrent_hash_table

    A concurrent hash table or concurrent hash map is an implementation of hash tables allowing concurrent access by multiple threads using a hash function. [1] [2] Concurrent hash tables represent a key concurrent data structure for use in concurrent computing which allow multiple threads to more efficiently cooperate for a computation among ...