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In computing, CUDA is a proprietary [1] 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.
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation). Fab – Fabrication ...
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.
A big reason for this is that Nvidia long ago developed its free (but proprietary) CUDA software platform, which allows developers to program the GPUs they buy for tasks other than graphics rendering.
The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information Interchange text), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing ...
nVidia CUDA support Intel SSE Support Intel AVX support Intel Quick Sync Video support AOM Video 1 Alliance for Open Media: 2018-06-25 1.0.0 Errata 1 (2019) [3] 2-clause BSD: Patented, but freely licensed Lossy / Lossless: DCT: Unknown Unknown Yes Yes Yes libtheora Xiph.org: 2002-09-25 1.1.1 (2009) [4] BSD-style [5] Patented, but freely ...
However, one chart shows Nvidia isn't as expensive as you might think. NVDA PE Ratio Chart. Data by YCharts. You might think Nvidia is expensive at 55 times earnings, but that's a bargain compared ...
With expectations for its impressive growth to continue, Nvidia is trading at a forward price/earnings-to-growth (PEG) ratio of roughly 0.36. A PEG ratio of less than 1.0 is often viewed as a ...