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  2. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    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. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

  3. Parallel programming model - Wikipedia

    en.wikipedia.org/wiki/Parallel_programming_model

    In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their composition in programs. The value of a programming model can be judged on its generality : how well a range of different problems can be expressed for a variety of different architectures ...

  4. Parallel I/O - Wikipedia

    en.wikipedia.org/wiki/Parallel_I/O

    Parallel I/O, in the context of a computer, means the performance of multiple input/output operations at the same time, for instance simultaneously outputs to storage devices and display devices. [1] It is a fundamental feature of operating systems .

  5. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    Sequential vs. data-parallel job execution. Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel. It can be applied on regular data structures like arrays and matrices by working on each element in ...

  6. Instruction-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Instruction-level_parallelism

    Atanasoff–Berry computer, the first computer with parallel processing [1] Instruction-level parallelism (ILP) is the parallel or simultaneous execution of a sequence of instructions in a computer program. More specifically, ILP refers to the average number of instructions run per step of this parallel execution. [2]: 5

  7. All-to-all (parallel pattern) - Wikipedia

    en.wikipedia.org/wiki/All-to-all_(parallel_pattern)

    In parallel computing, all-to-all (also known as index operation or total exchange) is a collective operation, where each processor sends an individual message to every other processor. Initially, each processor holds p messages of size m each, and the goal is to exchange the i-th message of processor j with the j-th message of processor i.

  8. Loop-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Loop-level_parallelism

    The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures. Where a sequential program will iterate over the data structure and operate on indices one at a time, a program exploiting loop-level parallelism will use multiple threads or processes which operate on some or all ...

  9. Parallel algorithm - Wikipedia

    en.wikipedia.org/wiki/Parallel_algorithm

    In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time. It has been a tradition of computer science to describe serial algorithms in abstract machine models, often the one known as random-access machine .