Essential C++ for Concurrency and Parallel Programming

Key Features:
* Master concurrent data structures and algorithms for efficient data sharing and manipulation
* Learn GPU programming with CUDA or OpenCL for massive parallelism and performance boost
* Explore advanced concurrency and parallelism topics, including synchronization, communication, and load balancing
* Discover effective debugging and testing techniques for concurrent code
* Build concurrent and parallel applications using design patterns and principles
* Apply design patterns for concurrent and parallel systems, including thread pools, worker queues, and pipeline architectures
This book covers:
* Concurrent Data Structures and Algorithms: Learn how to design and implement concurrent data structures and algorithms for efficient data sharing and manipulation.
* GPU Programming with CUDA or OpenCL: Master GPU programming using CUDA or OpenCL for massive parallelism and performance boost.
* Advanced Concurrency and Parallelism Topics: Explore advanced concurrency and parallelism topics, including synchronization, communication, and load balancing.
* Debugging and Testing Concurrent Code: Discover effective debugging and testing techniques for concurrent code.
* Building Concurrent and Parallel Applications: Learn how to build concurrent and parallel applications using design patterns and principles.
* Design Patterns for Concurrent and Parallel Systems: Apply design patterns for concurrent and parallel systems, including thread pools, worker queues, and pipeline architectures.
By the end of this book, you will have a deep understanding of C++ concurrency and parallel programming and be able to build high-performance, scalable, and reliable concurrent and parallel systems.