Book Image

Delphi High Performance

By : Primož Gabrijelčič
Book Image

Delphi High Performance

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, iOS, and now Linux with RAD Studio 10.2. This book will be your guide to build efficient high performance applications with Delphi. The book begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. It will teach you how to improve your algorithms before taking you through parallel programming. You’ll then explore various tools to build highly concurrent applications. After that, you’ll delve into improving the performance of your code and master cross-platform RTL improvements. Finally, we’ll go through memory management with Delphi and you’ll see how to leverage several external libraries to write better performing programs. By the end of the book, you’ll have the knowledge to create high performance applications with Delphi.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell

Chapter 7. Exploring Parallel Practices

You made it! I admit that the previous two chapters were not much fun and that they mostly tried to scare you away from multithreaded code. Now it's time for something completely different.

In this chapter, I'll cover the fun parts of multithreaded programming by moving to high-level concepts—tasks and patterns. We will not create any threads in the code, no we won't. Instead, we'll just tell the code what we need, and it will handle all the nitty-gritty details.

When you have read this chapter to its conclusion, you'll know all about the following topics:

  • What are tasks, and how are they different from threads?
  • How do we create and destroy tasks?
  • What are our options for managing tasks?
  • How should we handle exceptions in tasks?
  • What is thread pooling, and why is it useful?
  • What are patterns, and why are they better than tasks?
  • How can we use the Async/Await pattern to execute operations in a thread?
  • How can we use Join pattern to execute multiple parts of code...