Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Delphi High Performance
  • Table Of Contents Toc
  • Feedback & Rating feedback
Delphi High Performance

Delphi High Performance

By : Primož Gabrijelčič
4.8 (9)
close
close
Delphi High Performance

Delphi High Performance

4.8 (9)
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)
close
close
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
2
Index

Fine-tuning SlowCode


We are near the end of the chapter. Let's step back a little and take a breath.

This chapter is packed with information, but if I would have to pick the most important lesson, it would be: don't enlarge strings (arrays, lists) element by element. If you know how much space some data will take, allocate the space at the beginning.

As all recommendations go, this too must be taken with a grain of salt. Most of the time such optimizations will not matter. You should always have the following checklist in mind:

  1. Measure. Find where the problem actually is.
  2. See if you can improve the algorithm. This will give the best results.
  3. Fine-tune the code.

In the previous chapter, we have optimized the heart out of our old friend, SlowCode. Just to remind you, the latest version SlowCode_Sieve_v2_opt processes 10 million elements in a mere 529 ms. Still, there is a little room for improvement that I've neglected so far.

The problem lies in the function, Filter which expands the Result array...

Limited Time Offer

$10p/m for 3 months

Get online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech and supported with AI assistants
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon