Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Two of the major difficulties facing modern embedded systems can be summed up in a few words: loss of calculation power and increased power consumption. Some of the primary culprits include the influx ...

Nvidia is looking to expand its CUDA parallel-processing architecture to mobile devices in the next few years, the company’s CEO said Wednesday. The move, when it comes, could mean a big jump in the ...