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The Art of Writing Efficient Programs

You're reading from   The Art of Writing Efficient Programs An advanced programmer's guide to efficient hardware utilization and compiler optimizations using C++ examples

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800208117
Length 464 pages
Edition 1st Edition
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Author (1):
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Fedor G. Pikus Fedor G. Pikus
Author Profile Icon Fedor G. Pikus
Fedor G. Pikus
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Table of Contents (18) Chapters Close

Preface 1. Section 1 – Performance Fundamentals
2. Chapter 1: Introduction to Performance and Concurrency FREE CHAPTER 3. Chapter 2: Performance Measurements 4. Chapter 3: CPU Architecture, Resources, and Performance 5. Chapter 4: Memory Architecture and Performance 6. Chapter 5: Threads, Memory, and Concurrency 7. Section 2 – Advanced Concurrency
8. Chapter 6: Concurrency and Performance 9. Chapter 7: Data Structures for Concurrency 10. Chapter 8: Concurrency in C++ 11. Section 3 – Designing and Coding High-Performance Programs
12. Chapter 9: High-Performance C++ 13. Chapter 10: Compiler Optimizations in C++ 14. Chapter 11: Undefined Behavior and Performance 15. Chapter 12: Design for Performance 16. Assessments 17. Other Books You May Enjoy

Chapter 2: Performance Measurements

Whether writing a new high-performance program or optimizing an existing one, one of the first tasks set before you will be to define the performance of the code in its current state. Your success will be measured by how much you can improve its performance. Both of these statements imply the existence of a performance metric, something that can be measured and quantified. One of the more interesting outcomes of the last chapter was the discovery that there isn't even a single definition of performance that fits every need: what you measure when you want to quantify performance depends on the nature of the problem you're working on.

But there is much more to the measurements than simply defining the goals and confirming success. Every step of your performance optimization, whether of existing code or new code you're just writing, should be guided and informed by measurements.

The first rule of performance is Never guess about...

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