OpenCL Programming and Architecture (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"OpenCL Programming and Architecture" "OpenCL Programming and Architecture" is a comprehensive guide that delves into the principles, models, and advanced concepts of parallel computing with OpenCL. Starting with the historical evolution of heterogeneous computing and the foundational design goals of the OpenCL standard, this book thoroughly explains the platform's architectural abstractions and execution models. Readers are guided through essential topics such as the memory hierarchy, device types, and capabilities, enabling a deep understanding of how OpenCL unifies programming across CPUs, ...
"OpenCL Programming and Architecture"
"OpenCL Programming and Architecture" is a comprehensive guide that delves into the principles, models, and advanced concepts of parallel computing with OpenCL. Starting with the historical evolution of heterogeneous computing and the foundational design goals of the OpenCL standard, this book thoroughly explains the platform's architectural abstractions and execution models. Readers are guided through essential topics such as the memory hierarchy, device types, and capabilities, enabling a deep understanding of how OpenCL unifies programming across CPUs, GPUs, FPGAs, and other accelerators.
The book offers a meticulous exploration of the OpenCL programming model, including the kernel language specification, kernel development, NDRange organization, and synchronization mechanisms. Practical memory management techniques are discussed in depth, from buffer and image object handling to efficient data transfers and advanced address space management. Further chapters examine device and platform interoperability, helping developers navigate multi-device programming, graphics API integration, workload scheduling, and portability across diverse architectures-all crucial for building robust, scalable, and high-performance parallel applications.
Rounding out the coverage, "OpenCL Programming and Architecture" presents invaluable guidance on profiling, tuning, and optimizing OpenCL applications, as well as advanced parallel programming patterns such as reductions, stencils, and asynchronous execution. The final chapters focus on debugging, testing, and ensuring reliability, followed by an examination of emerging topics like SPIR-V, machine learning accelerators, and security in OpenCL. Complete with real-world case studies and best practices, this book is an indispensable resource for system programmers, software engineers, and researchers striving to harness the power of heterogeneous computing with OpenCL.
"OpenCL Programming and Architecture" is a comprehensive guide that delves into the principles, models, and advanced concepts of parallel computing with OpenCL. Starting with the historical evolution of heterogeneous computing and the foundational design goals of the OpenCL standard, this book thoroughly explains the platform's architectural abstractions and execution models. Readers are guided through essential topics such as the memory hierarchy, device types, and capabilities, enabling a deep understanding of how OpenCL unifies programming across CPUs, GPUs, FPGAs, and other accelerators.
The book offers a meticulous exploration of the OpenCL programming model, including the kernel language specification, kernel development, NDRange organization, and synchronization mechanisms. Practical memory management techniques are discussed in depth, from buffer and image object handling to efficient data transfers and advanced address space management. Further chapters examine device and platform interoperability, helping developers navigate multi-device programming, graphics API integration, workload scheduling, and portability across diverse architectures-all crucial for building robust, scalable, and high-performance parallel applications.
Rounding out the coverage, "OpenCL Programming and Architecture" presents invaluable guidance on profiling, tuning, and optimizing OpenCL applications, as well as advanced parallel programming patterns such as reductions, stencils, and asynchronous execution. The final chapters focus on debugging, testing, and ensuring reliability, followed by an examination of emerging topics like SPIR-V, machine learning accelerators, and security in OpenCL. Complete with real-world case studies and best practices, this book is an indispensable resource for system programmers, software engineers, and researchers striving to harness the power of heterogeneous computing with OpenCL.
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