Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
I’ve got a Nvidia Tesla s2050; a host with a nvidia quadro card.CentOS 5.5 with CUDA 3.1
When i run cuda app, i wanna use 4 Tesla c-2050, but not including quadro on host in order not to lagging the whole performance while split the job by 5 equally.any way to implement this?
I’m assuming you have four processes and four devices, although your question suggests you have five processes and four devices, which means that manual scheduling may be preferable (with the Tesla devices in “shared” mode).
The easiest is to use nvidia-smi to specify that the Quadro device is “compute prohibited”. You would also specify that the Teslas are “compute exclusive” meaning only one context can attach to each of these at any given time.
Run man nvidia-smi for more information.