May 1, 2024
3 minute read
Parallel Collections is a technique used in programming to store and manipulate large datasets in parallel, by distributing the data across multiple processors or cores. This allows for faster and more efficient processing of the data, as multiple operations can be performed simultaneously.
Why Learn Parallel Collections?
There are several reasons why someone might want to learn about Parallel Collections:
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Find a path to becoming a Parallel Collections. Learn more at:
OpenCourser.com/topic/j7d7g4/parallel
Reading list
We've selected eight 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 Collections.
Is an in-depth reference on parallel collections in Java. It covers the design and implementation of the Java Collections Framework, with a focus on its support for parallel programming.
Presents a comprehensive overview of parallel computing. It covers a wide range of topics from the basics of parallel programming to advanced topics such as data parallelism and distributed computing.
Discusses algorithms and parallel architectures. It includes chapters on divide and conquer algorithms, parallel sorting algorithms, and graph algorithms.
Detailed introduction to parallel programming with C# and .NET. It covers all the basic concepts including creating parallel tasks, data parallelism, task synchronization, and avoiding common pitfalls.
Covers parallel programming in R. It includes chapters on parallel computing concepts, parallel R packages, and case studies.
Covers MPI programming. It includes chapters on MPI programming concepts, MPI programming tools, and case studies.
Covers parallel programming for massively parallel processors. It includes chapters on parallel programming concepts, parallel programming tools, and case studies.
Covers the basics of parallel programming in Python. It includes chapters on threading, multiprocessing, and distributed computing.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/j7d7g4/parallel
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