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Parallel computing

Type of computation
  1. Parallel computing is a type of computation where many calculations or processes are carried out simultaneously. Large problems are divided into smaller ones, which can then be solved concurrently. This approach leverages multiple processing elements to work on different parts of a problem at the same time, significantly speeding up computation.

    Key Principles

    Parallel computing can be classified into several forms, including bit-level, instruction-level, data, and task parallelism. Each form exploits different aspects of parallelism to enhance performance. For instance, bit-level parallelism increases the processor's word size, reducing the number of instructions needed to perform a task. Instruction-level parallelism allows multiple instructions to be executed simultaneously by reordering and grouping them. Data parallelism involves performing the same operation on multiple data points concurrently, while task parallelism divides a task into subtasks that are executed simultaneously.

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  2. Parallel computing - Wikipedia

    Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. 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, …
    Background

    Traditionally, computer software has been written for serial computation. To solve a problem, an algorithm is constructed and implemented as a serial stream of instructions. These instructions are executed on a central processing unit on one computer. Only one instruction may execute at a time—after that instruction is finished, the next one is executed. Parallel computing, on the other hand, uses multiple processing elements simultaneously to solve a problem. This …

    Disadvantages

    Parallel computing can incur significant overhead in practice, primarily due to the costs associated with merging data from multiple processes. Specifically, inter-process communication and synchronization can lead to overheads …

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  3. Parallel Computing | Journal | ScienceDirect.com by Elsevier

    Parallel Computing is an international journal that covers the practical use of parallel computer systems, including hardware, software, applications, and performance measurement. It publishes original …

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    Parallel computing, in contrast, is the simultaneous use of multiple computing resources to solve a computational problem. The problem is divided into discrete parts that can be solved concurrently, …

  6. 17.1. Intro to Parallel Computing — Kempner Institute ...

    This section introduces the basic concepts and techniques necessary for parallelizing computations effectively within a High-Performance Computing …

  7. What is parallel computing? - IBM

    Nov 17, 2025 · Parallel computing, also known as parallel programming, is a process where large compute problems are broken down into smaller problems …

  8. Introduction to Parallel Computing Tutorial | HPC @ LLNL

    Oct 10, 2025 · Learn the basics of parallel computing, concepts and terminology, memory architectures, programming models, and design issues. See examples …

  9. Introduction to Parallel Computing - GeeksforGeeks

    Jun 4, 2021 · Parallel computing provides concurrency and saves time and money. Complex, large datasets, and their management can be organized only and only …

  10. Processing multiple tasks simultaneously on multiple processors is called parallel processing. Software methodology used to implement parallel processing. Sometimes called Cache Coherent UMA (CC …

  11. What is Parallel Computing? - TechSparks

    Oct 20, 2024 · Learn what parallel computing is, how it works, and why it is important for solving complex problems faster. Explore the different types, …

  12. How Parallel Processing Works | HowStuffWorks

    Mar 6, 2024 · Learn how parallel computing divides complex problems into smaller parts that are processed simultaneously by multiple processors. Explore the …

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