Contents of This Book
Chapter 1, Why Threading Building Blocks?, introduces the motivation for Intel Threading Building Blocks and gives you a high-level feel for how this solution is superior to other options for C++ programmers.
Chapter 2, Thinking Parallel, is a brief introduction to parallelism. Understanding how to “Think in Parallel” is fundamental to being able to write a good parallel program. This is the one place in the book where terms such as scalability are defined and the motivation for focusing on it is provided.
The rest of the book deals with using Threading Building Blocks.
Chapter 3, Basic Algorithms, covers the basic algorithmic capabilities. This is the key chapter to learning Threading Building Blocks. Here you will come to understand the concepts of recursion, task stealing, and algorithm patterns that are uniquely combined in Intel Threading Building Blocks. This will make the capabilities of Threading Building Blocks available to you.
Chapter 4, Advanced Algorithms, covers more advanced algorithmic capabilities.
Chapter 5, Containers, covers the data structure capabilities: the containers.
Chapter 6, Scalable Memory Allocation, covers the scalable memory allocator. Making sure your memory allocation is handled by a scalable memory allocator is very important.
Chapter 7, Mutual Exclusion, discusses mutual exclusion, both by locks and by atomic operations.
Chapter 8, Timing, discusses timing using a global timestamp capability built into Threading Building Blocks. ...