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F# High Performance

F# High Performance

By : Kusumawardhono
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F# High Performance

F# High Performance

5 (1)
By: 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 (9 chapters)
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Preface
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Preface
What this book covers
Who this book is for
What you need for this book
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Performing Common Optimizations in F#
1. 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
2. Performance Measurement
2. Performance Measurement
Introduction to the nature of F# code compilation
Using CLR Profiler 4.5
Ways to measure performance quantitatively
Summary
3
3. Optimizing Data Structures
3. 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
4. Introduction to Concurrency in F#
4. 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
5. Advanced Concurrency Support in F#
5. Advanced Concurrency Support in F#
Using F# MailboxProcessor
Managing side effects inside MailboxProcessor and asynchronous workflows
Parallel programming with .NET TPL
Summary
6
6. Optimizing Type Provider
6. 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
7. Language Features and Constructs Optimization
7. 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
8. Optimizing Computation Expressions
8. Optimizing Computation Expressions
Quick introduction to F# computation expression
General computation expression design considerations
Considerations of computation expression optimization
Summary

Preface

It’s well-known today that F# has been quite a first class citizen, a built-in part of programming language support in Visual Studio from Visual Studio 2010. F# is a programming language that has its own unique trait: it is a functional programming language, and at the same time, it has OOP support. F# has run on .NET until now, although we can also run F# as a cross-platform language, such as on Android (using Mono).

Although F# mostly runs faster than C# or VB when doing computations, F# has its own unique performance characteristics. Some of the performance characteristics might not be so obviously identified and code implementations might have implicit bad practices and subtleties that may lead to performance bottlenecks. The bottlenecks may or may not be faster than C#/VB counterparts, although some of the bottlenecks may share the same performance characteristics, such as the use of .NET APIs.

The main goal of this book is to identify the performance problems in F#, measuring and optimizing F# code to run more efficiently, while also maintaining the functional programming style as appropriately as possible.

This book focuses on optimizing F#. A basic skill of F# knowledge (including functional programming concept and basic OOP) is a prerequisite to start understanding its performance problems and optimizing F#.

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