CUDA stands for Compute Unified Device Architecture, which is a parallel computing platform and application programming interface (API) model created by NVIDIA. CUDA enables software developers and scientists to use the massive parallel computing power of NVIDIA graphics processing units (GPUs) to accelerate computations in a wide range of applications, such as scientific simulations, computer vision, deep learning, and many others.
CUDA provides a programming interface that allows developers to write software that can be executed on the GPU, taking advantage of the many cores available to perform calculations in parallel. This can result in significant speedups compared to traditional CPU-based calculations.
To use CUDA, developers typically use a special compiler that translates their code into a format that can be executed on the GPU. They can also use libraries and APIs provided by NVIDIA to accelerate specific tasks, such as linear algebra or signal processing.
Overall, GPU CUDA is a powerful tool that enables developers to harness the computational power of GPUs to accelerate a wide range of applications, making them faster and more efficient.