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C++ High Performance

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

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839216541
Length 544 pages
Edition 2nd Edition
Languages
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Authors (2):
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Viktor Sehr Viktor Sehr
Author Profile Icon Viktor Sehr
Viktor Sehr
Björn Andrist Björn Andrist
Author Profile Icon Björn Andrist
Björn Andrist
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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

Performance guidelines

I cannot stress enough the importance of having a concurrent program running correctly before trying to improve the performance. Also, before applying any of these guidelines related to performance, you first need to set up a reliable way of measuring what you are trying to improve.

Avoid contention

Whenever multiple threads are using shared data, there will be contention. Contention hurts performance and sometimes the overhead caused by contention can make a parallel algorithm work slower than a single-threaded alternative.

Using a lock that causes a wait and a context switch is an obvious performance penalty, but what is not equally obvious is that both locks and atomics disable optimizations in the code generated by the compiler, and they do so at runtime when the CPU executes the code. This is necessary in order to guarantee sequential consistency. But remember, the solution to such problems is never to ignore synchronization and therefore introduce...

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