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Concurrency with Modern C++

You're reading from   Concurrency with Modern C++ What every professional C++ programmer should know about concurrency.

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Product type Paperback
Published in Dec 2019
Publisher
ISBN-13 9781839211027
Length 543 pages
Edition 1st Edition
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Author (1):
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Rainer Grimm Rainer Grimm
Author Profile Icon Rainer Grimm
Rainer Grimm
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Table of Contents (19) Chapters Close

1. Reader Testimonials FREE CHAPTER
2. Introduction 3. Concurrency with Modern C++ 4. Memory Model 5. Multithreading 6. Parallel Algorithms of the Standard Template Library 7. The Near Future: C++20 8. Case Studies 9. The Future: C++23 10. Patterns and Best Practices 11. Synchronisation Patterns 12. Concurrent Architecture 13. Best Practices 14. Lock-Based Data Structures 15. Challenges 16. The Time Library 17. CppMem - An Overview 18. Glossary 19. Index

Executors

Executors are the basic building block for execution in C++ and fulfil a similar role for execution such as allocators for the containers in C++. Functions such as async, the parallel algorithms of the Standard Template Library, the then continuation of futures, the run methods of task blocks, or the post, dispatch, or defer calls of the Networking TS use them. Also, execution is a fundamental concern of programming there is no standardised way to perform an execution.

Here is the introductory example of the proposal P0761.

Various parallel_for implementations
void parallel_for(int facility, int n, function<void(int)> f) {
  if(facility == OPENMP) {
    #pragma omp parallel for
    for(int i = 0; i < n; ++i) {
      f(i);
    }
  }
else if(facility == GPU) {
  parallel_for_gpu_kernel<<<n>>>(f);
}
else if(facility == THREAD_POOL) {
  global_thread_pool_variable.submit(n, f);
  }
}

This parallel_for function has a few issues.

  • A simple...
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