Book Image

F# High Performance

By : Eriawan Kusumawardhono
Book Image

F# High Performance

By: Eriawan Kusumawardhono

Overview of this book

F# is a functional programming language and is used in enterprise applications that demand high performance. It has its own unique trait: it is a functional programming language and has OOP support at the same time. This book will help you make F# applications run faster with examples you can easily break down and take into your own work. You will be able to assess the performance of the program and identify bottlenecks. Beginning with a gentle overview of concurrency features in F#, you will get to know the advanced topics of concurrency optimizations in F#, such as F# message passing agent of MailboxProcessor and further interoperation with .NET TPL. Based on this knowledge, you will be able to enhance the performance optimizations when implementing and using other F# language features. The book also covers optimization techniques by using F# best practices and F# libraries. You will learn how the concepts of concurrency and parallel programming will help in improving the performance. With this, you would be able to take advantage of multi-core processors and track memory leaks, root causes, and CPU issues. Finally, you will be able to test their applications to achieve scalability.
Table of Contents (15 chapters)
F# High Performance
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Optimizing inline functions


F# has features of inline functions since F# 1.9, although the previous version already had it as experimental.

The definition of inline function is quite non-trivial: an inline function is a function that is integrated into the calling code. The word integrated must have a clear context; what kind of integration? It is integrated in the sense that the type is not generalized, but it is compiled accordingly when the inline function is used within other functions. The inline function body is embedded directly. This function embedding will be discussed in detail in the next section.

Before we discuss in-depth about inline functions, let's first examine the background of the importance and relevance of inline functions in the next section.

Background overview of inline functions and related type inferences

To understand this integration, we must know the background of how functions and arguments are evaluated first, especially if the arguments have no type annotation...