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Mastering Clojure

You're reading from   Mastering Clojure Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructs

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785889745
Length 266 pages
Edition 1st Edition
Languages
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Author (1):
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Akhil Wali Akhil Wali
Author Profile Icon Akhil Wali
Akhil Wali
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Table of Contents (14) Chapters Close

Preface 1. Working with Sequences and Patterns FREE CHAPTER 2. Orchestrating Concurrency and Parallelism 3. Parallelization Using Reducers 4. Metaprogramming with Macros 5. Composing Transducers 6. Exploring Category Theory 7. Programming with Logic 8. Leveraging Asynchronous Tasks 9. Reactive Programming 10. Testing Your Code 11. Troubleshooting and Best Practices A. References
Index

Executing tasks in parallel

The simultaneous execution of several computations is termed as parallelism. The use of parallelism tends to increase the overall performance of a computation, since the computation can be partitioned to execute on several cores or processors. Clojure has a couple of functions that can be used for the parallelization of a particular computation or task, and we will briefly examine them in this section.

Note

The following examples can be found in src/m_clj/c2/parallel.clj of the book's source code.

Suppose we have a function that pauses the current thread for some time and then returns a computed value, as depicted in Example 2.17:

(defn square-slowly [x]
  (Thread/sleep 2000)
  (* x x))

Example 2.17: A function that pauses the current thread

The function square-slowly in Example 2.17 requires a single argument x. This function pauses the current thread for two seconds and returns the square of its argument x. If the function square-slowly is invoked over a collection...

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