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In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
Direct3D 10.0 level hardware must support the following features: the ability to process entire primitives in the new geometry-shader stage, the ability to output pipeline-generated vertex data to memory using the stream-output stage, multisampled alpha-to-coverage support, readback of a depth/stencil surface or a multisampled resource once it ...
Julia is a high-level, general-purpose [16] dynamic programming language, designed to be fast and productive, [17] for e.g. data science, artificial intelligence, machine learning, modeling and simulation, most commonly used for numerical analysis and computational science.
There are three GPU rendering modes: CUDA, which is the preferred method for older Nvidia graphics cards; OptiX, which utilizes the hardware ray-tracing capabilities of Nvidia's Turing architecture & Ampere architecture; HIP, which supports rendering on AMD Radeon graphics cards; and oneAPI for Intel and Intel Arc GPUs. The toolkit software ...