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Delphi High Performance

Delphi High Performance - Second Edition

By : Primož Gabrijelčič
4.9 (11)
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Delphi High Performance

Delphi High Performance

4.9 (11)
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)
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Summary

I would be the first to admit that this chapter presents only sketches of ideas rather than fully reusable solutions. That is a direct consequence of the topic, which is too broad to give definite answers. Rather than that, I have tried to give you enough information to do your own research on the topic.

The chapter started with a discussion of the possible reasons for including external libraries in your application. They may cover a topic you are unfamiliar with, or they may implement some specific algorithm faster than you are able to—or faster than the Delphi compiler can do it.

That brought us to the FastMath Delphi library, which implements fast functions for working with vectors (series of numbers) and matrices (two-dimensional arrays of numbers). This library uses assembler intermixed with Pascal to give you the best performance in each case. We saw how assembler code is sometimes included internally and sometimes as an external file, and we can write a...

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Delphi High Performance
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