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


The topic of this chapter was fine-tuning the code. We started with Delphi compiler settings which can, in some cases, significantly change the code execution speed, and we learned what those situations are.

Then I introduced a simple but effective optimization—extracting common expressions. This optimization served as an introduction to the CPU Window, which can help us analyze compiled Delphi code.

After that I returned to basics. Creating a fast program means knowing how Delphi works and so I looked into built-in data types. We saw what is fast and what is not.

As a logical follow-up to data types we looked into methods—what happens when you pass parameters to a method and how to speed that up. We also reviewed a few surprising implementation details which can create problems in your code. I ended the chapter with three practical examples. Firstly, we used pointers to speed up bitmap processing. Next, a short section on assembler code has shown how to write a fast assembler replacement...