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In computing, CUDA (Compute Unified Device Architecture) 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.
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GHz = 10 9 Hz. Bus type – Type of memory bus or buses used. Bus width – Maximum bit width of the memory bus or buses used. This will always be a factory bus width. API support section. Direct3D – Maximum version of Direct3D fully supported. OpenGL – Maximum version of OpenGL fully supported. OpenCL – Maximum version of OpenCL fully ...
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CUDA execution core counts were increased from 32 per each of 16 SMs to 192 per each of 8 SMX; the register file was only doubled per SMX to 65,536 x 32-bit for an overall lower ratio; between this and other compromises, despite the 3x overall increase in CUDA cores and clock increase (on the 680 vs. the Fermi 580), the actual performance gains ...
The Nvidia Geforce 500 series graphics cards are significantly modified versions of the GeForce 400 series graphics cards, in terms of performance and power management.Like the Nvidia GeForce 400 series graphics cards, the Nvidia Geforce 500 series supports DirectX 11.0,OpenGL 4.6, and OpenCL 1.1.