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.

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

The big picture: Nvidia first released an open-source Linux GPU kernel driver in 2022 for cards based on the Turing architecture and newer. The company has since taken significant strides towards ...

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 ...

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 ...

NVIDIA's relationship with the open-source community has historically been a tale of intense on-again-off-again interactions. In recent years, the company has embraced open source more closely as of ...

Linux kernel 6.17 adds stable Intel Panther Lake (Xe3) support for upcoming Core Ultra devices. SR-IOV for Intel Arc Pro and more multi-GPU fixes boost VM and graphics support on Linux. The mainline ...

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 ...