Improving CUDA Initialization Times Using cgroups in Certain Scenarios – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-20T22:37:13Z http://www.open-lab.net/blog/feed/ Rahul Ramasubramanian <![CDATA[Improving CUDA Initialization Times Using cgroups in Certain Scenarios]]> http://www.open-lab.net/blog/?p=75534 2024-01-11T19:49:33Z 2024-01-05T22:14:41Z Many CUDA applications running on multi-GPU platforms usually use a single GPU for their compute needs. In such scenarios, a performance penalty is paid by...]]> Many CUDA applications running on multi-GPU platforms usually use a single GPU for their compute needs. In such scenarios, a performance penalty is paid by...Decorative image of light fields in green, purple, and blue.

Many CUDA applications running on multi-GPU platforms usually use a single GPU for their compute needs. In such scenarios, a performance penalty is paid by applications because CUDA has to enumerate/initialize all the GPUs on the system. If a CUDA application does not require other GPUs to be visible and accessible, you can launch such applications by isolating the unwanted GPUs from the CUDA��

Source

]]> 0 ���˳���97caoporen����