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Free Download Essential C++ for Concurrency and Parallel Programming: A Comprehensive Guide To Designing and Developing High-Performance, Multithreaded, and Concurrent... by Wendell Andrade
English | September 3, 2024 | ISBN: N/A | ASIN: B0DG34K89H | 178 pages | EPUB | 0.27 Mb
Unlock the full potential of C++ for concurrent and parallel programming with this comprehensive guide.'Essentials C++ for Concurrency and Parallel Programming' covers the fundamental concepts, techniques, and best practices for building high-performance, scalable, and reliable concurrent and parallel systems.
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
- 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.
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