CUDA by Example: An Introduction to General-Purpose GPU Programming Jason Sanders, Edward Kandrot
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This course will be a great vehicle to introduce GPU parallel programming concepts to the uninitiated! CUDA is a computing architecture designed to facilitate the development of parallel programs. Multicore machines and hyper-threading technology have enabled scientists, engineers, and financial analysts to speed up . The topics that Euro-Par covers include High Performance Computing (HPC), programming models for parallel computing, tools to deal with the intricacies of parallel programming, emerging trends such as GPUs and many others. A parallel computing technology from NVIDIA® that consists of a parallel computing architecture and developer tools, libraries, and programming directives for GPU computing. By Jill Reese, MathWorks and Sarah Zaranek, MathWorks. With the advance of GPU hardware, general purpose GPU computation on graphic processing units (GPGPU) has been emerging to exploit high performance computing capability of GPU not only for 3D graphic manipulation but also for general -purpose computation. Technology Book Review: CUDA by Example: An Introduction to General-Purpose GPU Programming by Jason Sanders, Edward Kandrot. The GPU programming framework such as the CUDA [10] and the OpenCL [11] provide application programming interfaces (APIs) of underlying GPU hardware, GPU programming model, and memory model. CPU cores are designed for general-purpose programs. Written by two senior members of the CUDA software platform team, this book shows programmers how to employ each area of CUDA through working examples. Too bad they talk about special purpose hacky langage like openMP/cuda/opencl, etc and not about general purpose solution like c++AMP which is open. Since we're working on cutting edge parallelization technology, we're .