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  2. Multiple instruction, single data - Wikipedia

    en.wikipedia.org/wiki/Multiple_instruction...

    MPMD. In computing, multiple instruction, single data (MISD) is a type of parallel computing architecture where many functional units perform different operations on the same data. Pipeline architectures belong to this type, though a purist might say that the data is different after processing by each stage in the pipeline.

  3. Gustafson's law - Wikipedia

    en.wikipedia.org/wiki/Gustafson's_law

    Gustafson's law. In computer architecture, Gustafson's law (or Gustafson–Barsis's law[1]) gives the speedup in the execution time of a task that theoretically gains from parallel computing, using a hypothetical run of the task on a single-core machine as the baseline. To put it another way, it is the theoretical "slowdown" of an already ...

  4. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    Apache Flink. Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3][4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task ...

  5. Multithreading (computer architecture) - Wikipedia

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

    Multithreading (computer architecture) A process with two threads of execution, running on a single processor. In computer architecture, multithreading is the ability of a central processing unit (CPU) (or a single core in a multi-core processor) to provide multiple threads of execution.

  6. Concurrent data structure - Wikipedia

    en.wikipedia.org/wiki/Concurrent_data_structure

    Concurrent data structure. In computer science, a concurrent data structure is a particular way of storing and organizing data for access by multiple computing threads (or processes) on a computer. Historically, such data structures were used on uniprocessor machines with operating systems that supported multiple computing threads (or processes ).

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming ...

  8. Communicating sequential processes - Wikipedia

    en.wikipedia.org/wiki/Communicating_sequential...

    Communicating sequential processes. In computer science, communicating sequential processes (CSP) is a formal language for describing patterns of interaction in concurrent systems. [1] It is a member of the family of mathematical theories of concurrency known as process algebras, or process calculi, based on message passing via channels.

  9. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    Parallel computing. Large supercomputers such as IBM's Blue Gene/P are designed to heavily exploit parallelism. Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. [1] Large problems can often be divided into smaller ones, which can then be solved at the same time.