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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

Technical requirements

First of all, you will need a C++ compiler. All examples in this chapter were compiled on a Linux system using GCC or Clang compilers. All major Linux distributions have GCC as a part of their regular install; newer versions may be available in the distribution's repositories. The Clang compiler is available through the LLVM project, http://llvm.org/, although several Linux distributions also maintain their own repositories. On Windows, Microsoft Visual Studio is the most common compiler, but both GCC and Clang are available as well.

Second, you will need a program profiling tool. In this chapter, we will use the Linux "perf" profiler. Again, it comes installed (or is available for installation) on most Linux distributions. The documentation can be found here: https://perf.wiki.kernel.org/index.php/Main_Page.

We will also demonstrate the use of another profiler, the CPU profiler from the set of Google Performance tools (GperfTools) found...

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