Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Delphi High Performance

You're reading from   Delphi High Performance Build fast Delphi applications using concurrency, parallel programming and memory management

Arrow left icon
Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788625456
Length 336 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Primož Gabrijelčič Primož Gabrijelčič
Author Profile Icon Primož Gabrijelčič
Primož Gabrijelčič
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. About Performance FREE CHAPTER 2. Fixing the Algorithm 3. Fine-Tuning the Code 4. Memory Management 5. Getting Started with the Parallel World 6. Working with Parallel Tools 7. Exploring Parallel Practices 8. Using External Libraries 9. Best Practices 1. Other Books You May Enjoy Index

Pipelines


So far, I have discussed two different categories of problems that can be solved using patterns. In the first category, there are long operations that we just want to push into the background. We are happy with the execution time, but we would like to keep the user interface responsive, and so we need to execute them in a background thread. Async/Await and Future are tools for this occasion.

In the second category, there are problems that can be split into parts that are independent or mostly independent of each other. We can use Join, Join/Await, or Parallel for to parallelize them and implement the "mostly" part with locking or interlocked operations.

This, however, doesn't even nearly cover all the use cases. There's at least one big category left that is hard to parallelize with the Parallel Programming Library tools. I'm talking about problems that are hard to split into parts but where operations executed on a given data item (an atomic part of the input data) can be split...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime
Visually different images