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)

When to parallelize code

Before you start parallelizing code, you should understand whether the particular code is a good candidate for parallelization or not. There are some typical examples where parallelization is particularly simple, and there are some where it is really hard to implement.

One of the most common examples is executing long parts of code in the main thread. In Delphi, the main thread is the only one responsible for managing the user interface. If it is running a long task and not processing user interface events, then the user interface is blocked. We can solve this problem by moving the long task into a background thread, which will allow the main thread to manage the user interface. A responsive program makes for a happy user, as I like to say.

Note

Android applications have a separate thread dedicated to running the user interface – the UI thread. This thread is similar to the main thread on Windows as you should not run any long-running operations...