Compute Unified Device Architecture (CUDA)
CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model that enables to perform massively parallel computations on graphics accelerators.
CUDA uses the advantages of graphic processing units (GPUs) over general-purpose central processing units (CPUs) for specific workloads via the efficient use of highly specialized cores. This enables the parallel processing of a very high number of simultaneous threads. The fields of use of CUDA are very varied, among the most popular are:
- Machine learning and deep learning
- Imaging and computer vision
- Computational finance
- Research: Higher education and supercomputing
CUDA was released in June 2007 by NVIDIA.
Developers can work with CUDA using C++ as a high-level programming language. CUDA also provides an interface to NVIDIA GPUs through other programming languages, such as FORTRAN, Python, DirectCompute, and OpenACC.
- Learn more
- CUDA toolkit documentation
- Related tags
- Data Science
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