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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.
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.
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 (NASDAQ: NVDA) ... While not the only GPU maker, the company has been able to create a wide moat through its Compute Unified Device Architecture (CUDA) software platform, which is the ...
While not the only GPU maker, Nvidia has created a wide moat though its CUDA software program. The company originally created the free software program as a way to expand beyond its core video ...
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.
Nvidia OptiX (OptiX Application Acceleration Engine) is a ray tracing API that was first developed around 2009. [1] The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high ...
Nvidia created the parallel computing platform CUDA to make that happen -- and what followed was an expansion into many areas, including AI. ... So need for not only Nvidia's GPUs but also its AI ...