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CUDA works with all Nvidia GPUs from the G8x series onwards, including GeForce, Quadro and the Tesla line. CUDA is compatible with most standard operating systems. CUDA 8.0 comes with the following libraries (for compilation & runtime, in alphabetical order): cuBLAS – CUDA Basic Linear Algebra Subroutines library; CUDART – CUDA Runtime library
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.
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
12.0 (12_2) 80 Quadro RTX 4000 Mobile [314] [318] TU104 1560 8 448 256 2560 8.0 ... CUDA SDK 6.5 support for Compute Capability 1.0 – 5.x (Tesla, Fermi, Kepler ...
Julia is a high-level, general-purpose [17] dynamic programming language, still designed to be fast and productive, [18] for e.g. data science, artificial intelligence, machine learning, modeling and simulation, most commonly used for numerical analysis and computational science.
Prior to the roll-out of Python 3, projects requiring compatibility with both the 2.x and 3.x series were recommended to have one source (for the 2.x series), and produce releases for the Python 3.x platform using 2to3. Edits to the Python 3.x code were discouraged for so long as the code needed to run on Python 2.x. [10]
The favored aspect ratio of mass-market display industry products has changed gradually from 4:3, then to 16:10, then to 16:9, and has now changed to 18:9 for smartphones. [7] [needs update] The 4:3 aspect ratio generally reflects older products, especially the era of the cathode ray tube (CRT).