Free Download Fundamental C++ for Concurrency and Parallel Programming: Exploiting Multicore Processors with C++: Concurrency, Parallelism and Optimization Techniques by HILARY STANLEY
English | September 7, 2024 | ISBN: N/A | ASIN: B0DGFHBQV9 | 147 pages | EPUB | 0.85 Mb
Unlocking the Power of Modern C++ for High-Performance Applications!
In today’s demanding computing landscape, concurrency and parallel programming are essential skills for developers who want to create high-performance, scalable applications. Fundamental C++ for Concurrency and Parallel Programming offers a comprehensive and practical guide to mastering these critical concepts. With clear explanations, real-world examples, and expert insights, this book will equip you with the knowledge and tools you need to unlock the full potential of C++ for concurrent and parallel programming.
In the realm of contemporary software development, where computational demands are ever-increasing and resource constraints are a constant reality, the ability to harness the power of concurrency and parallelism has become an indispensable skill. C++, with its rich feature set and performance-oriented design, offers a robust platform for crafting applications that can efficiently utilize multi-core processors and distributed systems.
Fundamental C++ for Concurrency and Parallel Programming serves as a comprehensive and meticulously crafted guide for developers seeking to master the intricacies of concurrent and parallel programming in C++. Authored by HILARY STANLEY, a seasoned C++ expert with years of experience in software development and performance optimization, this book provides a deep dive into the fundamental concepts, best practices, and advanced techniques essential for building scalable and efficient applications.
A Solid Foundation for Concurrent Programming
The book begins by laying a strong foundation in the core concurrency features of C++, including threads, mutexes, condition variables, and atomic operations. Through clear explanations and illustrative examples, readers will gain a thorough understanding of how to create, manage, and synchronize threads to execute tasks concurrently. The author delves into the mechanisms for protecting shared data and preventing race conditions, ensuring that readers grasp the importance of proper synchronization for concurrent code.
Mastering Parallel Programming Techniques
Beyond concurrency, the book explores the realm of parallel programming, where multiple tasks are executed simultaneously to leverage the power of multi-core processors. Readers will learn about different parallel programming paradigms, such as task parallelism and data parallelism, and discover how to apply them effectively to various problem domains. The author provides practical examples and insights into performance optimization techniques, enabling readers to write code that scales efficiently on modern hardware.
Throughout the book, the author emphasizes the importance of following best practices and avoiding common pitfalls in concurrent and parallel programming. Readers will be guided through the process of writing robust, maintainable, and efficient code, ensuring that their applications are not only performant but also reliable and scalable.
Who Should Read This Book:C++ developers who want to improve the performance and scalability of their applications.Software engineers working on projects that require concurrent or parallel processing.Students and researchers in computer science or related fields.