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Parallel C++efficient and scalable high-performance parallel programming using HPX /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Parallel C++by Patrick Diehl, Steven R. Brandt, Hartmut Kaiser.
Reminder of title:	efficient and scalable high-performance parallel programming using HPX /
Author:	Diehl, Patrick.
other author:	Brandt, Steven R.
Published:	Cham :Springer International Publishing :2024.
Description:	xviii, 239 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	C++ (Computer program language)
Online resource:	https://doi.org/10.1007/978-3-031-54369-2
ISBN:	9783031543692$q(electronic bk.)

Parallel C++efficient and scalable high-performance parallel programming using HPX /
Diehl, Patrick.

Parallel C++efficient and scalable high-performance parallel programming using HPX /[electronic resource] :by Patrick Diehl, Steven R. Brandt, Hartmut Kaiser. - Cham :Springer International Publishing :2024. - xviii, 239 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783031543692$q(electronic bk.)

Standard No.: 10.1007/978-3-031-54369-2doiSubjects--Topical Terms:

181958
C++ (Computer program language)

LC Class. No.: QA76.73.C153

Dewey Class. No.: 005.133

Parallel C++efficient and scalable high-performance parallel programming using HPX /
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505 0 $a 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.
520 $a 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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700 1 $a Kaiser, Hartmut. $3 969198
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