CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI strategy.

Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.

CUDA 6 is said to “dramatically simplify parallel programming” by offering programmers unified memory access and also to accelerate applications using drop-in libraries and multi-GPU scaling.

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...

The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Graphics processing units from Nvidia are too hard to program, including with Nvidia's own programming tool, CUDA, according to artificial intelligence research firm OpenAI. The San Francisco ...

Nvidia’s warning to developers about running its CUDA software, a programming toolkit, on third-party graphic processing units has exposed another weak link in China’s quest for chip self ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...