Book Image

Delphi High Performance - Second Edition

By : Primož Gabrijelčič
5 (1)
Book Image

Delphi High Performance - Second Edition

5 (1)
By: Primož Gabrijelčič

Overview of this book

Performance matters! Users hate to use programs that are not responsive to interactions or run too slow to be useful. While becoming a programmer is simple enough, you require dedication and hard work to achieve an advanced level of programming proficiency where you know how to write fast code. This book begins by helping you explore algorithms and algorithmic complexity and continues by describing tools that can help you find slow parts of your code. Subsequent chapters will provide you with practical ideas about optimizing code by doing less work or doing it in a smarter way. The book also teaches you how to use optimized data structures from the Spring4D library, along with exploring data structures that are not part of the standard Delphi runtime library. The second part of the book talks about parallel programming. You’ll learn about the problems that only occur in multithreaded code and explore various approaches to fixing them effectively. The concluding chapters provide instructions on writing parallel code in different ways – by using basic threading support or focusing on advanced concepts such as tasks and parallel patterns. By the end of this book, you’ll have learned to look at your programs from a totally different perspective and will be equipped to effortlessly make your code faster than it is now.
Table of Contents (15 chapters)

Summary

The focus of this chapter was on parallel programming patterns implemented in the open source framework OmniThreadLibrary. We could say that we had once again – after looking at the Spring library – returned to the great advice, “Don’t implement, reuse!

Although the chapter was dedicated to parallel patterns, I started by talking about a specialized thread-safe queue that is used again and again inside OTL’s parallel patterns – a blocking collection. This standalone part of OTL can also be used with Delphi’s TThread or ITask, which was also the focus of the demo.

After that, we focused on the three patterns we already discussed in the previous chapter – Async, Join, and Future. We saw how they are mostly similar to PPL implementation but also how they are different in small details.

Next, we explored the Parallel Task pattern. Although it represents just a light wrapper around the Join pattern, it served...