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.

Back in 2000, Ian Buck and a small computer graphics team at Stanford University were watching the steady evolution of computer graphics processors for gaming and thinking about how such devices could ...

NVIDIA has published the source code of its Linux kernel modules for the R515 driver, allowing developers to provide greater integration, stability, and security for Linux distributions. The source ...

Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel ...

It would be useful for someone to do a temperature check of Hell because after years of queries and requests, Nvidia has released on GitHub the source code for its GPU kernel modules. Long suffering ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

The CPU and the GPU share access to some pages of memory. New Linux code helps the kernel keep track of memory holding data for the GPU. The management of video hardware has long been an area of ...

This course provides an introduction to Kernel programming for the Linux operating system, and the development of Linux kernel drivers for Embedded devices. The Yocto build system is introduced, which ...