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I've noticed that if two users try to run CUDA programs at the same time, it tends to lock up either the card or the driver (or both?). We need to either reset the card or reboot the machine to restore normal behavior.

Is there a way to get a lock on the GPU so other programs can't interfere while it's running?

Edit

OS is Ubuntu 11.10 running on a server. While there is no X Windows running, the card is used to display the text system console. There are multiple users.

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2 回答 2

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If you are running on either Linux or Windows with the TCC driver, you can put the GPU into compute exclusive mode using the nvidia-smi utility.

Compute exclusive mode makes the driver refuse a context establishment request if another process already holds a context on that GPU. Any process trying to run on a busy compute exclusive GPU will receive a no device available error and fail.

于 2012-12-16T11:24:44.937 回答
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You can use something like Task Spooler to queue the programs and run one at the time.

We use TORQUE Resource Manager but it's harder to configure than ts. With TORQUE you can have multiple queues (ie one for cuda jobs, two for cpu jobs) and assign a different job to each gpu.

于 2012-12-16T10:35:19.137 回答