Search results
Results From The WOW.Com Content Network
In computing, CUDA 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.
For Nvidia, the answer resides in its compute unified device architecture (CUDA), a software platform that layers on top of its GPUs. Although the company's chips can technically run on other ...
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 CUDA platform allowed its chips to be programmed to better handle other tasks, which led to more developers learning the program to the point where it became the de facto platform on which ...
rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.
Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel.
In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...
Its CUDA (compute unified device architecture) software platform was launched almost 20 years ago, and it is now an important part of the investment case.