Shared memory application programming : concepts and strategies in multicore application programming

✍ Scribed by Alessandrini, Victor

• Publisher: Morgan Kaufmann
• Year: 2016
• Tongue: English
• Leaves: 528
• Edition: 1
• Category: Library

✦ Synopsis

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any branch of applied computer science. This book guides readers to develop insights about threaded programming and introduces two popular platforms for multicore development: OpenMP and Intel Threading Building Blocks (TBB). Author Victor Alessandrini leverages his rich experience to explain each platform’s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability.

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

✦ Table of Contents

Content:
Front Matter,Copyright,Preface,Biography,AcknowledgmentsEntitled to full textChapter 1 - Introduction and Overview, Pages 1-15
Chapter 2 - Introducing Threads, Pages 17-28
Chapter 3 - Creating and Running Threads, Pages 29-81
Chapter 4 - Thread-Safe Programming, Pages 83-99
Chapter 5 - Concurrent Access to Shared Data, Pages 101-127
Chapter 6 - Event Synchronization, Pages 129-152
Chapter 7 - Cache Coherency and Memory Consistency, Pages 153-166
Chapter 8 - Atomic Types and Operations, Pages 167-190
Chapter 9 - High-Level Synchronization Tools, Pages 191-223
Chapter 10 - OpenMP, Pages 225-305
Chapter 11 - Intel Threading Building Blocks, Pages 307-339
Chapter 12 - Further Thread Pools, Pages 341-373
Chapter 13 - Molecular Dynamics Example, Pages 375-399
Chapter 14 - Further Data Parallel Examples, Pages 401-422
Chapter 15 - Pipelining Threads, Pages 423-457
Chapter 16 - Using the TBB Task Scheduler, Pages 459-490
Annex A - Using the Software☆, Pages 491-494
Annex B - C++ Function Objects and Lambda Expressions, Pages 495-503
Bibliography, Pages 505-506
Index, Pages 507-527