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)

Pipelines

So far, I have discussed two different categories of problems that can be solved using patterns. In the first category, there are long operations that we just want to push into the background. We are happy with the execution time, but we would like to keep the user interface responsive, and so we need to execute them in a background thread. Async/Await and Future are tools for this occasion.

In the second category, there are problems that can be split into parts that are independent or mostly independent of each other. We can use Join, Join/Await, or Parallel for to parallelize them and implement the "mostly" part with locking or interlocked operations.

This, however, doesn't even nearly cover all the use cases. There's at least one big category left that is hard to parallelize with the Parallel Programming Library tools. I'm talking about problems...