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
Contributors
Preface
Index

Summary


I would be the first to admit that this chapter presents only sketches of ideas rather than fully reusable solutions. That is a direct consequence of the topic, which is too open to give definite answers. Rather than that, I have tried to give you enough information to do your own research on the topic.

The chapter started with a discussion of the possible reasons for including external libraries in your application. They may cover a topic you are unfamiliar with, or they may implement some specific algorithm faster than you are able to—or faster than the Delphi compiler can do it.

That brought us to the FastMath Delphi library, which implements fast functions for working with vectors (series of numbers) and matrices (two-dimensional arrays of numbers). This library uses an assembler intermixed with Pascal to give you the best performance in each case. We saw how assembler code is sometimes included internally and sometimes as an external file, and how a unified front is built on top...