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)

Exploring Parallel Practices

You made it! I admit that the previous two chapters were not much fun and that they mostly tried to scare you away from multithreaded code. Now it’s time for something completely different.

In this chapter, I’ll cover the fun parts of multithreaded programming by moving to high-level concepts—tasks and patterns. We will not create any threads in the code; no, we won’t. Instead, we’ll just tell the code what we need, and it will handle all the nitty-gritty details.

When you have read this chapter to the end, you’ll know all about the following topics:

  • What are tasks and how are they different from threads?
  • How do we create and destroy tasks?
  • What are our options for managing tasks?
  • How should we handle exceptions in tasks?
  • What is thread pooling and why is it useful?
  • What are patterns and why are they better than tasks?
  • How can we use the Async/Await pattern to execute operations...