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2. Current NVIDIA and ATI/AMD architecture for general-purpose computing
Graphics cards from NVIDIA, starting with the G80 series GPU, and from AMD, starting with the R600 series GPU, have the hardware capacity to perform general-purpose floating-point or integer calculations, with application interfaces specific to general-purpose computing (CUDA for NVIDIA and Brook+/CAL at first, then OpenCL for AMD). This makes it easy to adapt the code to these architectures. In this section, we'll take a look at the hardware characteristics of the latest GPUs, which will be useful for controlling computing performance. We'll be referring to GPUs from NVIDIA's Maxwell GM200 series and AMD's R9 Fury series, which are the cards available (September 2015) on the French market. The descriptions given here correspond to the manufacturers' indications, which give an architecture "model". The exact structure of the boards is undoubtedly not identical to this model.
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Current NVIDIA and ATI/AMD architecture for general-purpose computing
High-level programming languages
Bibliography
(books, articles, symposium proceedings, theses and dissertations, referred to in the text as – and therefore numbered – or not)
Websites
(portals, personal pages, forums, discussion lists)
HARRIS Mark General-Purpose Computation on Graphics Hardware http://gpgpu.org/ (page accessed September 20, 2015). The most important site on the subject with news, forums and tutorials.
NVIDIA Corporation CUDA Zone – The resource for CUDA developers...
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Conference and exhibition: The International Conference for High Performance Computing, Networking, Storage, and Analysis (SuperComputing) http://www.sc-conference.org takes place every year, presenting trends and innovations in high-performance computing.
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