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:
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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.
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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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Reading list
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.
Presents a comprehensive overview of parallel computer architecture.
Aimed to teach the reader how to effectively use MPI and OpenMP for parallel programming.
Covers both the algorithmic and architectural aspects of parallel computing.
Focuses on parallel programming for enterprise and high-performance computing environments, with emphasis on large-scale systems and applications.
Focuses on parallel computing for data science, emphasizing Python-based solutions.
Teaches parallel computing with CUDA.
An introductory text to parallel processing, covering the basics of this topic.
For more information about how these books relate to this course, visit:
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