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Delphi High Performance

You're reading from   Delphi High Performance Master the art of concurrency, parallel programming, and memory management to build fast Delphi apps

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781805125877
Length 452 pages
Edition 2nd Edition
Languages
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Author (1):
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Primož Gabrijelčič Primož Gabrijelčič
Author Profile Icon Primož Gabrijelčič
Primož Gabrijelčič
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: About Performance 2. Chapter 2: Profiling the Code FREE CHAPTER 3. Chapter 3: Fixing the Algorithm 4. Chapter 4: Don’t Reinvent, Reuse 5. Chapter 5: Fine-Tuning the Code 6. Chapter 6: Memory Management 7. Chapter 7: Getting Started with the Parallel World 8. Chapter 8: Working with Parallel Tools 9. Chapter 9: Exploring Parallel Practices 10. Chapter 10: More Parallel Patterns 11. Chapter 11: Using External Libraries 12. Chapter 12: Best Practices 13. Index 14. Other Books You May Enjoy

Join

The next pattern I want to present is Join. This is a very simple pattern that starts multiple tasks in parallel. In the Parallel Programming Library, Join is implemented as a class method of the TParallel class. To execute three methods, Task1, Task2, and Task3, in parallel, you simply call TParallel.Join with the parameters collected in an array:

TParallel.Join([Task1, Task2, Task3]);

This is equivalent to the following implementation, which uses tasks:

var
  tasks: array [1..3] of ITask;
tasks[1] := TTask.Run(Task1);
tasks[2] := TTask.Run(Task2);
tasks[3] := TTask.Run(Task3);

Although the approaches work the same way, that doesn’t mean that Join is implemented in this way. Rather than that, it uses a pattern that I haven’t yet covered, a parallel for to run tasks in parallel.

Join starts tasks but doesn’t wait for them to complete. It returns an ITask interface representing a new, composite task, which only exits when all of its...

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