Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
C++ High Performance

You're reading from   C++ High Performance Master the art of optimizing the functioning of your C++ code

Arrow left icon
Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839216541
Length 544 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Viktor Sehr Viktor Sehr
Author Profile Icon Viktor Sehr
Viktor Sehr
Björn Andrist Björn Andrist
Author Profile Icon Björn Andrist
Björn Andrist
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. A Brief Introduction to C++ 2. Essential C++ Techniques FREE CHAPTER 3. Analyzing and Measuring Performance 4. Data Structures 5. Algorithms 6. Ranges and Views 7. Memory Management 8. Compile-Time Programming 9. Essential Utilities 10. Proxy Objects and Lazy Evaluation 11. Concurrency 12. Coroutines and Lazy Generators 13. Asynchronous Programming with Coroutines 14. Parallel Algorithms 15. Other Books You May Enjoy
16. Index

Concurrency and parallelism

Concurrency and parallelism are two terms that are sometimes used interchangeably. However, they are not the same and it is important to understand the differences between them. A program is said to run concurrently if it has multiple individual control flows running during overlapping time periods. In C++, each individual control flow is represented by a thread. The threads may or may not execute at the exact same time, though. If they do, they are said to execute in parallel. For a concurrent program to run in parallel, it needs to be executed on a machine that has support for parallel execution of instructions; that is, a machine with multiple CPU cores.

At first glance, it might seem obvious that we always want concurrent programs to run in parallel if possible, for efficiency reasons. However, that is not necessarily always true. A lot of synchronization primitives (such as mutex locks) covered in this chapter are required only to support the parallel...

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 $19.99/month. Cancel anytime