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

Tasks and patterns


Traditionally, parallel programming was always implemented with a focus on threads and data sharing. The only support we programmers got from the operating system and the language runtime libraries were thread—and synchronization—related functions. We were able to create a thread, maybe set some thread parameters (like thread priority), and kill a thread. We were also able to create some synchronization mechanisms—a critical section, mutex, or a semaphore. But that was all.

As you are not skipping ahead and you read the previous two chapters, you already know that being able to start a new thread and do the locking is not nearly enough. Writing parallel code that way is a slow, error-prone process. That's why in the last decade the focus in parallel code has shifted from threads to tasks and patterns. Everyone is doing it—Microsoft with the .NET Task Parallel Library, Intel with Thread Building Blocks, Embarcadero with the  Parallel Programming Library and third-party extensions...