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.

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Table of Contents (15 chapters)
F# High Performance
F# High Performance
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Customer Feedback
Customer Feedback
Preface
Preface
Free Chapter
1
Performing Common Optimizations in F#
Performing Common Optimizations in F#
Understanding the nature of F# code
Overview of common bottlenecks
Common samples of misunderstood concurrent problems
Overview of F# tooling in Visual Studio
Introduction to debugging in F#
Summary
2
Performance Measurement
Performance Measurement
Introduction to the nature of F# code compilation
Using CLR Profiler 4.5
Ways to measure performance quantitatively
Summary
3
Optimizing Data Structures
Optimizing Data Structures
Overview and best practices of types in F#
Quick introduction to types in F#
Quick overview of generic type support in F#
Introduction to memory storage allocation
Best practices in using F# collections
Comparing F# List to .NET List<T>
Comparing F# Map to Dictionary<TKey,TValue>
Choosing a value evaluation strategy
Scenarios involving evaluation strategy and memory allocations
Summary
4
Introduction to Concurrency in F#
Introduction to Concurrency in F#
Introducing concurrency support in F# 4
Identifying blocking threads
Introducing asynchronous workflow
Introduction to interop with .NET TPL
Summary
5
Advanced Concurrency Support in F#
Advanced Concurrency Support in F#
Using F# MailboxProcessor
Managing side effects inside MailboxProcessor and asynchronous workflows
Parallel programming with .NET TPL
Summary
6
Optimizing Type Provider
Optimizing Type Provider
Overview of F# type provider
Understanding the type provider building blocks
Implementing your own type provider
Common pitfalls in implementing type provider
Summary
7
Language Features and Constructs Optimization
Language Features and Constructs Optimization
Overview of language features and constructs optimization
Optimizing common F# language constructs
Optimizing inline functions
Identifying tail call in recursive constructs
Summary
8
Optimizing Computation Expressions
Optimizing Computation Expressions
Quick introduction to F# computation expression
General computation expression design considerations
Considerations of computation expression optimization
Summary

Using F# MailboxProcessor

F# has extensive features of asynchronous operations such as the way it uniquely separates and differentiates from other .NET-managed languages, such as C#/VB, Managed C++, Nemerle, IronPython, and IronRuby. But at the same time, it runs on top of .NET CLR, providing high compatibility with other languages.

F#'s own unique asynchronous features are not just the asynchronous workflows; it has a class that acts as a message passing agent or actor, MailboxProcessor. The MailboxProcessor feature was introduced at the same time as asynchronous workflow was released, and the implementation of MailboxProcessor itself is actually an implementation of a set of asynchronous workflows.

Background case of having message agent

The advantage of having an asynchronous model is the fact that we don't have to wait for the operation or task to be completely finished before doing something else, especially the next operations. The advantage that we don't have to wait for the completion...

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