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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

Parallel for

The Parallel Programming Library implements only one pattern that I haven’t talked about yet—Parallel for, a multithreaded version of a for loop. This pattern allows for very simple parallelization of loops, but this simplicity can also get you into trouble.

When you use Parallel for, you should always be very careful that you don’t run into a data sharing-trap.

For comparison purposes, the ParallelFor demo implements a normal for loop (shown as follows), which goes from 2 to 10 million, counts all prime numbers in that range, and logs the result:

const
  CHighestNumber = 10000000;
procedure TbtnParallelFor.btnForClick(Sender: TObject);
var
  count: Integer;
  i: Integer;
  sw: TStopwatch;
begin
  sw := TStopwatch.StartNew;
  count := 0;
  for i := 2 to CHighestNumber do
    if IsPrime(i) then
      Inc(count);
  ...
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