Concurrency and Parallel Programming in C++: Learn proven techniques and strategies to write robust, maintainable, and efficient concurrent code. (Python Trailblazer’s Bible) by Katie Millie
English | May 5, 2024 | ISBN: N/A | ASIN: B0D3DZ7CN9 | 409 pages | EPUB | 0.29 Mb
English | May 5, 2024 | ISBN: N/A | ASIN: B0D3DZ7CN9 | 409 pages | EPUB | 0.29 Mb
Unleash the Power of Parallel Processing with Concurrency and Parallel Programming in C++
Harness the full potential of modern C++ to write high-performance, concurrent applications.
In today's data-driven world, the ability to process information at lightning speed is paramount. Concurrency and Parallel Programming in C++ equips you with the knowledge and tools to unlock the true power of your C++ code, enabling you to tackle even the most demanding computational challenges.
This comprehensive guide delves into the intricacies of concurrent and parallel programming concepts in C++:
- Master the Fundamentals: Gain a solid understanding of concurrency and parallelism, including thread management, synchronization mechanisms, and data races.
- Embrace Modern C++ Features: Leverage the latest C++ standards and libraries, including threads, mutexes,atomics, and the Standard Template Library (STL) for parallel algorithms.
- Conquer Complex Tasks: Dive into practical examples and real-world scenarios, learning how to implement efficient parallel algorithms for scientific computing, machine learning, and more.
- Optimize for Performance: Discover advanced techniques for profiling, debugging, and optimizing your concurrent code, ensuring peak performance and efficiency.
- Explore Distributed Computing: Understand the power of distributed systems like MPI and OpenMP, allowing you to scale your applications across multiple machines.
- Develop robust and scalable applications that leverage the full potential of multi-core processors.
- Write clean, maintainable, and efficient concurrent code using modern C++ best practices.
- Contribute to groundbreaking research and innovation across diverse scientific and engineering domains.
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