Shared Memory Application Programming: Concepts and Strategies in Multicore Application Programming
Autor Victor Alessandrinien Limba Engleză Paperback – 26 oct 2015
The book is divided into two parts: the first develops the essential concepts of thread management and synchronization, discussing the way they are implemented in native multithreading libraries (Windows threads, Pthreads) as well as in the modern C++11 threads standard. The second provides an in-depth discussion of TBB and OpenMP including the latest features in OpenMP 4.0 extensions to ensure readers’ skills are fully up to date. Focus progressively shifts from traditional thread parallelism to modern task parallelism deployed by modern programming environments. Several chapter include examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and a software library incorporating a number of utilities that readers can adapt into their own projects.
- Designed to introduce threading and multicore programming to teach modern coding strategies for developers in applied computing
- Leverages author Victor Alessandrini's rich experience to explain each platform’s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability
- Includes complete, up-to-date discussions of OpenMP 4.0 and TBB
- Based on the author’s training sessions, including information on source code and software libraries which can be repurposed
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Specificații
ISBN-13: 9780128037614
ISBN-10: 012803761X
Pagini: 556
Dimensiuni: 191 x 235 x 28 mm
Greutate: 1.11 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 012803761X
Pagini: 556
Dimensiuni: 191 x 235 x 28 mm
Greutate: 1.11 kg
Editura: ELSEVIER SCIENCE
Cuprins
- Introduction
- Threads
- Creating and running threads
- Thread safe programming
- Concurrent access to shared data
- Event synchronization
- Cache coherency and memory consistency
- High level synchronization tools
- OpenMP
- Intel Threading Building Blocks
- Further thread pools
- A molecular dynamics example
- Further data parallel examples
- Pipelining Threads
- Using the TBB task scheduler