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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.
CUDA; GeForce 8100 mGPU [44] 2008 MCP78 TSMC 80 nm Unknown Unknown PCIe 2.0 x16 500 1200 400 (system memory) 8:8:4 2 4 Up to 512 from system memory 6.4 12.8 DDR2 64 128 28.8 10.0 3.3 n/a n/a Unknown The block of decoding of HD-video PureVideo HD is disconnected GeForce 8200 mGPU [44] Unknown Unknown gt Unknown PureVideo 3 with VP3
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
See the 10 stocks » ... Furthermore, Nvidia's CUDA software is still necessary for parallel computing using Nvidia GPUs. Still, if the ability to utilize Nvidia's less-advanced GPUs has increased ...
The company has taken a huge 90% market share in the GPU space due largely to its CUDA software platform, which makes it easy for developers to program its chips for various AI tasks through CUDA ...
Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later Nvidia GPUs.
Beyond its high-powered chips, the company built itself a wide moat through its CUDA software platform, which it developed back in 2006. CUDA allows developers to program Nvidia's GPUs for tasks ...