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

When to parallelize the code?

Before you start parallelizing the code, you should understand whether the particular code is a good candidate for parallelization or not. There are some typical examples where parallelization is particularly simple, and there are some where it is really hard to implement.

One of the most common examples is executing long parts of code in the main thread. In Delphi, the main thread is the only one responsible for managing the user interface. If it is running some long task and not processing user interface events, then the user interface is blocked. We can solve this problem by moving the long task into a background thread, which will allow the main thread to manage the user interface. A responsive program makes for a happy user, as I like to say.

Another problem that is usually relatively simple to solve is enabling a server application to handle multiple clients at once. Instead of processing client requests one by one, we can create a separate thread for each...