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Parallel Processing

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May 1, 2024 Updated July 8, 2025 11 minute read

Parallel processing, a subset of concurrent computing, is a computing process that divides complex computations into smaller tasks and executes them simultaneously on multiple processors or machines. This approach can significantly reduce computation time, especially for tasks that are computationally intensive and can be broken down into independent or parallel processes.

Types of Parallel Processing

There are two main types of parallel processing:

  • Shared memory parallel processing: This type involves multiple processors accessing and manipulating the same shared memory space. It requires careful coordination and synchronization to avoid conflicts and ensure data integrity.
  • Distributed memory parallel processing: This type involves multiple processors having their own local memory and communicating with each other over a network. It offers greater scalability and flexibility, but requires efficient communication mechanisms.

Applications of Parallel Processing

Parallel processing finds applications in various domains, including:

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We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Parallel Processing.
Provides a comprehensive overview of parallel processing for scientific computing, with a focus on large-scale scientific applications.
A comprehensive guide to parallel computing, covering both the theoretical and practical aspects of this topic.
Focuses on parallel programming for enterprise and high-performance computing environments, with emphasis on large-scale systems and applications.
An introductory text to parallel processing, covering the basics of this topic.
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