本文旨在梳理作者学习路径，带领读者共同探索 GPU Kernel 性能分析从宏观到微观的技术演进。 引言 作为一名使用eBPF进行CPU性能分析的工程师，在转向学习GPU性能优化分析时，一直在思考GPU上是否有技术也可以实现用户自定义探针式性能分析？学习NVIDIA Nsight ...

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 ...

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 ...

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 ...

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.