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CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing — an approach termed GPGPU (General-Purpose computing on Graphics Processing Units)
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NVIDIA cuDNN The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers
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Students at some of the top universities in China have come up with ways to use CUDA, NVIDIA’s parallel computing architecture, to find improvements in areas like pattern matching, image computation and particle simulation As part of NVIDIA’s CUDA University Roadshow, students at universities across China were invited to compete for prizes in CUDA programming
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CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs) With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs
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CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach termed GPGPU (General-Purpose computing on Graphics Processing Units)
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