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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

Probing performance with micro-benchmarks

The outcome of the previous section may leave you somewhat daunted: the processor is very complex and, apparently, needs a lot of hand-holding on the part of the programmer to operate at peak efficiency. Let us start small and see how fast a processor can do some basic operations. To that end, we will use the same Google Benchmark tool we have used in the last chapter. Here is a benchmark for the simple addition of two arrays:

01_superscalar.C

#include "benchmark/benchmark.h"
void BM_add(benchmark::State& state) {
     srand(1);
     const unsigned int N = state.range(0);
     std::vector<unsigned long> v1(N), v2(N);
     for (size_t i = 0; i < N; ++i) {
           v1[i] = rand();
           v2[i] = rand(...
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