OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...

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 ...

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom. Increased ...

A Graphics Processing Unit or GPU in short is used as a co-processor along with the CPU for heavy tasks and computing. Generally, GPUs are used to accelerate or speed up memory-intensive tasks such as ...

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind, and combines careful ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia wants its graphics processing units (GPUs) to handle the ...

What exactly is GPU computing and what does and doesn't use it? As we saw back in December in Eyeon's informative video, GPU computing is a very powerful technique that, during the last year or two, ...