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)

The most common problems

Before we start writing multithreaded code, I’d like to point out some typical situations that represent the most common sources of problems in multithreaded programs. After that, I’ll look into possible ways of solving such situations.

The biggest problem with the situations I’m about to describe is that they are all completely valid programming approaches if you are writing single-threaded code. Because of that, they sometimes even slip into (multithreaded) code written by the best programmers.

As we’ll see later in the chapter, the best way to work around them is just to stay away from problematic situations. Instead of data sharing, for example, we can use data duplication and communication channels. But I’m getting ahead of myself ...

All of the situations I’m going to describe have something in common. They are a source of problems that can stay well hidden. Often, parallel programs seem to be working...