'The CUDA Handbook' begins where 'CUDA by Example' leaves off, discussing both CUDA hardware and software in detail that will engage any CUDA developer, from the casual to the most hardcore. Newer CUDA developers will see how the hardware processes commands and the driver checks…
Background -- Hardware architecture -- Software architecture -- Software environment -- Memory -- Streams and events -- Kernel execution -- Streaming multiprocessors -- Multiple GPUs -- Texturing -- Streaming workloads -- Reduction -- Scan -- N-body -- Image processing : normali…
The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest …
Multicore and GPU Programming' offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore 'massively parallel' computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantag…
Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, …
Presenting case studies illustrating key concepts across multiple fields, this book is intended for those who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. --
GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Co…
Presenting case studies illustrating key concepts across multiple fields, this book is intended for those who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. --