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"CUDA Programming in C: From Basics to Expert Proficiency" is a comprehensive guide designed to equip both novice and experienced developers with the knowledge and skills needed to harness the power of CUDA and parallel computing. Through a systematic and detailed approach, this book delves into the core concepts of CUDA programming, beginning with an introduction to parallel computing and the CUDA platform, and progressing to advanced features and performance optimization techniques. Each chapter provides in-depth explanations, practical examples, and invaluable insights into real-world applications, making complex subjects accessible and engaging.
This book covers essential topics such as memory management, thread hierarchy, kernel functions, debugging, and profiling, ensuring a strong foundation in CUDA programming. Additionally, it explores advanced CUDA features and their applications in various domains, from high-performance computing to machine learning and scientific simulations. With clear instructions, structured learning paths, and practical case studies, "CUDA Programming in C: From Basics to Expert Proficiency" is an indispensable resource for developers seeking to unlock the full potential of their GPU hardware and create high-performance, efficient software solutions.
This book covers essential topics such as memory management, thread hierarchy, kernel functions, debugging, and profiling, ensuring a strong foundation in CUDA programming. Additionally, it explores advanced CUDA features and their applications in various domains, from high-performance computing to machine learning and scientific simulations. With clear instructions, structured learning paths, and practical case studies, "CUDA Programming in C: From Basics to Expert Proficiency" is an indispensable resource for developers seeking to unlock the full potential of their GPU hardware and create high-performance, efficient software solutions.