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  2. Dryad (programming) - Wikipedia

    en.wikipedia.org/wiki/Dryad_(programming)

    Dryad was a research project at Microsoft Research for a general purpose runtime for execution of data parallel applications. The research prototypes of the Dryad and DryadLINQ data-parallel processing frameworks are available in source form at GitHub. [1]

  3. PowerShell - Wikipedia

    en.wikipedia.org/wiki/PowerShell

    PowerShell is a task automation and configuration management program from Microsoft, consisting of a command-line shell and the associated scripting language.Initially a Windows component only, known as Windows PowerShell, it was made open-source and cross-platform on August 18, 2016, with the introduction of PowerShell Core. [9]

  4. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    The programming control structures on which autoparallelization places the most focus are loops, because, in general, most of the execution time of a program takes place inside some form of loop. There are two main approaches to parallelization of loops: pipelined multi-threading and cyclic multi-threading. [ 3 ]

  5. Automatic parallelization tool - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization_tool

    emmtrix Parallel Studio is a source-to-source parallelization tool combined with an interactive GUI developed by emmtrix Technologies GmbH. It takes C, MATLAB, Simulink, Scilab or Xcos source code as input and generates parallel C code as output. It relies on static schedule and a message passing API for the parallel program.

  6. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    Task parallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors in parallel computing environments. Task parallelism focuses on distributing tasks —concurrently performed by processes or threads —across different processors.

  7. Concurrency (computer science) - Wikipedia

    en.wikipedia.org/wiki/Concurrency_(computer_science)

    Parallelism (simultaneous execution on multiple processing units). Parallelism executes tasks independently on multiple CPU cores, while concurrency manages multiple tasks on one or more cores, switching between threads or time-slicing without completing each one.

  8. Loop-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Loop-level_parallelism

    Let's say the time of one execution of S1 be then the execution time for sequential form of above code is , Now because DOALL Parallelism exists when all iterations are independent, speed-up may be achieved by executing all iterations in parallel which gives us an execution time of , which is the time taken for one iteration in sequential ...

  9. Speculative multithreading - Wikipedia

    en.wikipedia.org/wiki/Speculative_multithreading

    Thread Level Speculation (TLS), also known as Speculative Multi-threading, or Speculative Parallelization, [1] is a technique to speculatively execute a section of computer code that is anticipated to be executed later in parallel with the normal execution on a separate independent thread. Such a speculative thread may need to make assumptions ...