OpenMP in Practice (eBook, ePUB)
Definitive Reference for Developers and Engineers
PAYBACK Punkte
0 °P sammeln!
"OpenMP in Practice" "OpenMP in Practice" is an expertly structured guide that delivers a comprehensive exploration of OpenMP, the industry-standard API for parallel programming on shared-memory architectures. The book starts with essential concepts such as execution models, language bindings for C, C++, and Fortran, and the evolution of OpenMP's features, providing readers a strong foundation in both the standard's philosophy and its practical implementations. Detailed discussions on memory consistency, programming models, and the intricate relationship between compilation, runtimes, and syst...
"OpenMP in Practice"
"OpenMP in Practice" is an expertly structured guide that delivers a comprehensive exploration of OpenMP, the industry-standard API for parallel programming on shared-memory architectures. The book starts with essential concepts such as execution models, language bindings for C, C++, and Fortran, and the evolution of OpenMP's features, providing readers a strong foundation in both the standard's philosophy and its practical implementations. Detailed discussions on memory consistency, programming models, and the intricate relationship between compilation, runtimes, and system architectures highlight the breadth and depth required for professional-level parallel programming.
Building on these fundamentals, this book delves deeply into the engineering of scalable, high-performance applications. It addresses core techniques for controlling parallelism, synchronization, and data sharing, including advanced tasking, nested parallelism, sophisticated scheduling controls, and the avoidance of data races. The chapters on performance tuning are particularly invaluable, guiding readers through profiling, minimizing overhead, optimizing for NUMA architectures, and adapting to modern heterogeneous computing environments such as GPUs and FPGAs using OpenMP's powerful offloading capabilities. Real-world strategies for debugging, regression testing, code maintainability, and hybrid programming with MPI extend the book's practical utility.
Looking to the future, "OpenMP in Practice" situates OpenMP within the evolving landscape of high-performance computing. The final chapters offer an incisive perspective on recent advances in the specification, the challenges of scalability, and trends in emerging hardware and domain-specific applications. Case studies illuminate best practices-and pitfalls-in large-scale deployments, while discussions of community ecosystem growth and open research topics ensure readers are well equipped to push the boundaries of parallel programming. For engineers, researchers, and advanced students alike, this book is an essential resource for mastering OpenMP in modern computing.
"OpenMP in Practice" is an expertly structured guide that delivers a comprehensive exploration of OpenMP, the industry-standard API for parallel programming on shared-memory architectures. The book starts with essential concepts such as execution models, language bindings for C, C++, and Fortran, and the evolution of OpenMP's features, providing readers a strong foundation in both the standard's philosophy and its practical implementations. Detailed discussions on memory consistency, programming models, and the intricate relationship between compilation, runtimes, and system architectures highlight the breadth and depth required for professional-level parallel programming.
Building on these fundamentals, this book delves deeply into the engineering of scalable, high-performance applications. It addresses core techniques for controlling parallelism, synchronization, and data sharing, including advanced tasking, nested parallelism, sophisticated scheduling controls, and the avoidance of data races. The chapters on performance tuning are particularly invaluable, guiding readers through profiling, minimizing overhead, optimizing for NUMA architectures, and adapting to modern heterogeneous computing environments such as GPUs and FPGAs using OpenMP's powerful offloading capabilities. Real-world strategies for debugging, regression testing, code maintainability, and hybrid programming with MPI extend the book's practical utility.
Looking to the future, "OpenMP in Practice" situates OpenMP within the evolving landscape of high-performance computing. The final chapters offer an incisive perspective on recent advances in the specification, the challenges of scalability, and trends in emerging hardware and domain-specific applications. Case studies illuminate best practices-and pitfalls-in large-scale deployments, while discussions of community ecosystem growth and open research topics ensure readers are well equipped to push the boundaries of parallel programming. For engineers, researchers, and advanced students alike, this book is an essential resource for mastering OpenMP in modern computing.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
