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  2. Yield (multithreading) - Wikipedia

    en.wikipedia.org/wiki/Yield_(multithreading)

    The Yield method is provided in various object-oriented programming languages with multithreading support, such as C# and Java. [2] OOP languages generally provide class abstractions for thread objects. yield in Kotlin

  3. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    These application programming interfaces support parallelism in host languages. Apache Beam; Apache Flink; Apache Hadoop; Apache Spark; CUDA; OpenCL; OpenHMPP

  4. Uniform access principle - Wikipedia

    en.wikipedia.org/wiki/Uniform_access_principle

    Python properties may be used to allow a method to be invoked with the same syntax as accessing an attribute. Whereas Meyer's UAP would have a single notation for both attribute access and method invocation (method invocation syntax), a language with support for properties still supports separate notations for attribute and method access.

  5. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    Java—thread class or Runnable interface; Julia—"concurrent programming primitives: Tasks, async-wait, Channels." [15] JavaScript—via web workers, in a browser environment, promises, and callbacks. JoCaml—concurrent and distributed channel based, extension of OCaml, implements the join-calculus of processes

  6. Dask (software) - Wikipedia

    en.wikipedia.org/wiki/Dask_(software)

    Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.

  7. Multithreading (computer architecture) - Wikipedia

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

    From the software standpoint, hardware support for multithreading is more visible to software, requiring more changes to both application programs and operating systems than multiprocessing. Hardware techniques used to support multithreading often parallel the software techniques used for computer multitasking. Thread scheduling is also a major ...

  8. OpenMP - Wikipedia

    en.wikipedia.org/wiki/OpenMP

    OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, [3] on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows.

  9. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    Object-oriented programming – uses data structures consisting of data fields and methods together with their interactions (objects) to design programs Class-based – object-oriented programming in which inheritance is achieved by defining classes of objects, versus the objects themselves