前些天，CMU 助理教授、TVM/XGBoost/MLC-LLM 的创造者陈天奇发布了一本免费在线书籍《 Modern GPU Pr ogram ming For MLSys（面向机器学习系统的现代 GPU 编程） 》。

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.

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 ...

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 ...

You have to read the headline on Nvidia’s latest GPU announcement slowly, parsing each clause as it arrives. “Nvidia transitions fully” sounds like real commitment, a burn-the-boats call. “Towards ...

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 ...

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 ...

NVIDIA has open-sourced its Linux GPU kernel drivers for products made and released after 2018. This means GPU functionalities like the clock and thermal management are now available for tweaking.