Parallel C++
Efficient and Scalable High-Performance Parallel Programming Using HPX
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Product details:
- Edition number 2024
- Publisher Springer
- Date of Publication 3 July 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031543685
- Binding Paperback
- No. of pages239 pages
- Size 235x155 mm
- Language English
- Illustrations 1 Illustrations, black & white 601
Categories
Short description:
This textbook focuses on practical parallel C++ programming at the graduate student level. In particular, it shows the APIs and related language features in the C++ 17 and C++ 20 standards, covering both single node and distributed systems. It shows that with the parallel features in the C++ 17 and C++ 20 standards, learning meta-languages like OpenMP is no longer necessary. Using the C++ standard library for parallelism and concurrency (HPX), the same language features can be extended to distributed codes, providing a higher-level C++ interface to distributed programming than the Message Passing Interface (MPI).
The book starts with the single-threaded implementation of the fractal sets, e.g. Julia set, and Mandelbrot set, using the C++ Standard Library (SL)?s container and algorithms. This code base is used for parallel implementation using low-level threads, asynchronous programming, parallel algorithms, and coroutines. The asynchronous programming examples are then extended to distributed programming using the C++ standard library for parallelism and concurrency (HPX). Octo-Tiger, an astrophysics code for stellar merger, is used as a showcase for a portable, efficient, and scalable high-performance application using HPX.
The book?s core audience is advanced undergraduate and graduate students who want to learn the basics of parallel and distributed C++ programming but are not computer science majors. Basic C++ knowledge, like functions, classes, loops, and conditional statements, is assumed as a requirement, while C++ advanced topics, like generic programming, lambda functions, smart pointers, and move semantics, are briefly summarized in the appendix.
MoreLong description:
This textbook focuses on practical parallel C++ programming at the graduate student level. In particular, it shows the APIs and related language features in the C++ 17 and C++ 20 standards, covering both single node and distributed systems. It shows that with the parallel features in the C++ 17 and C++ 20 standards, learning meta-languages like OpenMP is no longer necessary. Using the C++ standard library for parallelism and concurrency (HPX), the same language features can be extended to distributed codes, providing a higher-level C++ interface to distributed programming than the Message Passing Interface (MPI).
The book starts with the single-threaded implementation of the fractal sets, e.g. Julia set, and Mandelbrot set, using the C++ Standard Library (SL)?s container and algorithms. This code base is used for parallel implementation using low-level threads, asynchronous programming, parallel algorithms, and coroutines. The asynchronous programming examples are then extended to distributed programming using the C++ standard library for parallelism and concurrency (HPX). Octo-Tiger, an astrophysics code for stellar merger, is used as a showcase for a portable, efficient, and scalable high-performance application using HPX.
The book?s core audience is advanced undergraduate and graduate students who want to learn the basics of parallel and distributed C++ programming but are not computer science majors. Basic C++ knowledge, like functions, classes, loops, and conditional statements, is assumed as a requirement, while C++ advanced topics, like generic programming, lambda functions, smart pointers, and move semantics, are briefly summarized in the appendix.
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Table of Contents:
Part I: Preliminaries.- 1. Compiling and running the code and examples in this book.- Part II: Introduction to C++ and C++ Standard Library.- 2. About C++, C++ standard, and the C++ Standard Library.- 3. C++ Standard library.- 4. Example Mandelbrot set and Julia set.- Part III: The C++ standard library for concurrency and parallelism (HPX).- 5. Why HPX?.- 6. The C++ standard library for parallelism and concurrency (HPX).- Part IV: Parallel programming.- 7. Parallel Programming.- 8. Programming with Low Level Threads.- 9. Asynchronous programming.- 10. Parallel Algorithms.- 11. Coroutines.- 12. Benchmarking the fractal set codes.- Part V: Distributed programming.- 13. Distributed computing and programming.- 14. Distributed programming using HPX.- 15. Examples of distributed programming.- 16. Some remarks on MPI+OpenMP and HPX.- Part VI: A showcase for a portable high performance application using HPX.- 17. Accelerator Cards.- 18. Octo-Tiger, a showcase for a portable high performance application.- Part VII: Conclusion and Outlook.- 19. Conclusion and Outlook.
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