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CUDA, which stands for Compute Unified Device Architecture, is a parallel computing platform and application programming interface (API) model created by NVIDIA.〔(NVIDIA CUDA Home Page )〕 It allows software developers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing – an approach known as GPGPU. The CUDA platform is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements. The CUDA platform is designed to work with programming languages such as C, C++ and Fortran. This accessibility makes it easier for specialists in parallel programming to utilize GPU resources, as opposed to previous API solutions like Direct3D and OpenGL, which required advanced skills in graphics programming. Also, CUDA supports programming frameworks such as OpenACC and OpenCL.〔 ==Background== The GPU, as a specialized processor, addresses the demands of real-time high-resolution 3D graphics compute-intensive tasks. , GPUs have evolved into highly parallel multi-core systems allowing very efficient manipulation of large blocks of data. This design is more effective than general-purpose CPUs for algorithms in situations where processing of large blocks of data is done in parallel, such as: * push-relabel maximum flow algorithm * fast sort algorithms of large lists * two-dimensional fast wavelet transform * molecular dynamics simulations 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「CUDA」の詳細全文を読む スポンサード リンク
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