Going Multicore with C++
Asynchronous and Parallel Programming using C++11
Joe Hummel(Author)
Morgan Kaufmann (Publisher)
Published on 1. February 2020
Book
Paperback/Softback
320 pages
978-0-12-407719-5 (ISBN)
Description
Going Parallel with C++ is designed for undergraduate students or developers who need to learn the key skill of parallel programming. Both hardware and software are increasingly dependent on parallel computing techniques - every modern computer is a multicore, and key applications - big data, computational science, cloud computing, mobile computing, image processing, games, modeling and more - are all inherently parallel. Educators are now teaching parallel computing earlier in the CS curriculum and are searching for resources that approach it as a fundamental skill rather than a secondary discipline that only comes after traditional, linear programming skills. Concurrency expert Joe Hummel explains not only parallel computing but also the new functions implemented with platform-neutral C++11 (released in 2011) that make it the platform of choice poised to replace outdated, proprietary tools. All major C++ compilers are moving to support the new features of C++11. Hummel takes a demo-oriented approach, with numerous examples that give the book a practical feel as opposed to more theoretical competitors. To facilitate adoption for courses, the book will include exercises built from the examples, solutions, and working source code on an ancillary page.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 234 mm
Width: 191 mm
ISBN-13
978-0-12-407719-5 (9780124077195)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. Introduction to Concurrent Programming2. A Quick Tour of C++11 from a Concurrency Perspective3. The Modern Computer System4. Threading in C++115. Avoiding the Dangers of Concurrency6. Async and Futures in C++117. Working with Concurrent Programs8. Some (helpful) Patterns9. Some (early) Best Practices