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.

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 ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

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 ...

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 ...

The breakthrough was achieved by implementing tons of fine-grained optimizations and usage of assembly-like PTX (Parallel Thread Execution) programming instead of Nvidia's CUDA, according to an ...

Nvidia released CUDA Toolkit 2.2 to all developers today. As I mentioned in April when the beta shipped to registered developers, the toolkit includes a visual GPU profiler that now works on Vista ...