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

This chapter dove deep into the murky waters of memory managers. We started on the light side with a discussion of strings, arrays, and how memory for them is managed.

After that, I enumerated all memory management functions exposed by Delphi. We saw how we can allocate memory blocks, change their size, and free them again. We also learned about memory management functions designed to allocate and release managed data—strings, interfaces, dynamic arrays, and so on.

The next part of the chapter was dedicated to records. We saw how to allocate them, how to initialize them, and even how to make dynamically allocated records function together with generic types. We also saw that records are not just faster to create than objects but also use less memory.

Then, we went really deep into the complicated world of memory manager implementation. I explained—from a very distant viewpoint—how FastMM4 is organized internally and what tricks it uses to speed...