Book Image

Delphi High Performance

By : Primož Gabrijelčič
Book Image

Delphi High Performance

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, iOS, and now Linux with RAD Studio 10.2. This book will be your guide to build efficient high performance applications with Delphi. The book begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. It will teach you how to improve your algorithms before taking you through parallel programming. You’ll then explore various tools to build highly concurrent applications. After that, you’ll delve into improving the performance of your code and master cross-platform RTL improvements. Finally, we’ll go through memory management with Delphi and you’ll see how to leverage several external libraries to write better performing programs. By the end of the book, you’ll have the knowledge to create high performance applications with Delphi.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Memory allocation in a parallel world


We've seen how FastMM boosts the reallocation speed. Let's take a look at another optimization which helps a lot when you write a multithreaded code—as we will in the next three chapters.

The life of a memory manager is simple when there is only one thread of execution inside a program. When the memory manager is dealing out the memory, it can be perfectly safe in the knowledge that nothing can interrupt it in this work.

When we deal with parallel processing, however, multiple paths of execution simultaneously execute the same program and work on the same data. (We call them threads and I'll explain them in the next chapter.) Because of that, life from the memory manager's perspective suddenly becomes very dangerous.

For example, let's assume that one thread wants some memory. The memory manager finds a free memory block on a free list and prepares to return it. At that moment, however, another thread also needs some memory from the same allocator. This...