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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

Pipelining and branches

Here is our understanding of the efficient use of a processor so far: first, the CPU can do multiple operations at once, such as add and multiply at the same time. Not taking advantage of this capability is like leaving free computing power on the table. Second, the factor that limits our ability to maximize efficiency is how fast we can produce the data to feed into these operations. Specifically, we are constrained by the data dependencies: if one operation computed the value that the next operation uses as an input, the two operations must be executed sequentially. The workaround to this dependency is pipelining: when executing loops or long sequences of code, the processor will interleave separate computations such as loop iterations, as long as they have at least some operations that can be executed independently.

However, pipelining has an important precondition as well. Pipelining plans ahead: in order to interleave code from several loop iterations...

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