You are previewing Programming F# 3.0, 2nd Edition.

Programming F# 3.0, 2nd Edition

Cover of Programming F# 3.0, 2nd Edition by Chris Smith Published by O'Reilly Media, Inc.
  1. Programming F# 3.0
  2. Preface
    1. Introducing F#
    2. Who This Book Is For
    3. What You Need to Get Going
    4. How the Book Is Organized
      1. Part I
      2. Part II
      3. Part III
    5. Part IV
    6. Conventions Used in This Book
    7. Using Code Examples
    8. Safari® Books Online
    9. I’d Like to Hear from You
    10. Acknowledgments
  3. I. Multiparadigm Programming
    1. 1. Introduction to F#
      1. Getting to Know F#
      2. Visual Studio 11
      3. F# Interactive
      4. Managing F# Source Files
    2. 2. Fundamentals
      1. Primitive Types
      2. Comparison and Equality
      3. Functions
      4. Core Types
      5. Organizing F# Code
    3. 3. Functional Programming
      1. Understanding Functions
      2. Pattern Matching
      3. Discriminated Unions
      4. Records
      5. Lazy Evaluation
      6. Sequences
      7. Queries
    4. 4. Imperative Programming
      1. Understanding Memory in .NET
      2. Changing Values
      3. Units of Measure
      4. Arrays
      5. Mutable Collection Types
      6. Looping Constructs
      7. Exceptions
    5. 5. Object-Oriented Programming
      1. Programming with Objects
      2. Understanding System.Object
      3. Understanding Classes
      4. Methods and Properties
      5. Inheritance
    6. 6. .NET Programming
      1. The .NET Platform
      2. Interfaces
      3. Object Expressions
      4. Extension Methods
      5. Extending Modules
      6. Enumerations
      7. Structs
  4. II. Programming F#
    1. 7. Applied Functional Programming
      1. Active Patterns
      2. Using Modules
      3. Mastering Lists
      4. Tail Recursion
      5. Programming with Functions
      6. Functional Patterns
      7. Functional Data Structures
    2. 8. Applied Object-Oriented Programming
      1. Operators
      2. Generic Type Constraints
      3. Delegates and Events
      4. Events
    3. 9. Asynchronous and Parallel Programming
      1. Working with Threads
      2. Asynchronous Programming
      3. Asynchronous Workflows
      4. Parallel Programming
      5. Task Parallel Library
    4. 10. Scripting
      1. F# Script Files
      2. Directives
      3. F# Script Recipes
    5. 11. Data Processing
      1. Indexing
      2. Querying
  5. III. Extending the F# Language
    1. 12. Reflection
      1. Attributes
      2. Type Reflection
      3. Dynamic Instantiation
      4. Using Reflection
    2. 13. Computation Expressions
      1. Toward Computation Expressions
      2. Computation Expression Builders
      3. Custom Computation Expression Builders
    3. 14. Quotations
      1. Quotation Basics
      2. Generating Quotation Expressions
    4. 15. Type Providers
      1. Typed Data Versus Typed Languages
      2. Type Providers
  6. IV. Appendixes
    1. A. Overview of .NET Libraries
      1. Visualization
      2. Data Processing
      3. Storing Data
    2. B. F# Interop
      1. .NET Interop
      2. Unmanaged Interop
  7. Index
  8. About the Author
  9. Colophon
  10. Copyright
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Chapter 9. Asynchronous and Parallel Programming

“Parallel programming” frightens many developers, as the term has become synonymous with complexity and difficult-to-find bugs. However, with the libraries and language features available to F#, any anxiety over parallel programming is misplaced.

In fact, even if parallel programming were difficult—which I contend it is not—it is still worth studying because without it you simply cannot take advantage of your hardware’s potential.

This chapter focuses on how to speed up computation in F# using asynchronous and parallel programming. By the end of this chapter, you will be able to execute code in different contexts (threads), use the F# asynchronous workflows library for mastering asynchronous programming, and also take advantage of the Parallel Extensions to .NET.

Before we begin, let’s define some of the domains related to “parallel programming”:

Asynchronous programming

Asynchronous programming describes programs and operations that once started are executed in the background and terminate at some “later time.” For example, in most email clients, new emails are retrieved asynchronously in the background so the user doesn’t have to force checking for new mail.

Parallel programming

Parallel programming is dividing up work between processing resources in order to speed up execution. For example, converting a song into an MP3 can be parallelized—dividing the song into pieces and converting each segment in parallel.

Reactive programming

Reactive ...

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