Book Image

Mastering Delphi Programming: A Complete Reference Guide

By : Primož Gabrijelčič
Book Image

Mastering Delphi Programming: A Complete Reference Guide

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time. This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements. By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects. This Learning Path includes content from the following Packt products: Delphi High Performance by Primož Gabrijel?i? Hands-On Design Patterns with Delphi by Primož Gabrijel?i?
Table of Contents (19 chapters)

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 mechanismsa 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...