I'm currently facing the problem of integrating GPU-Servers into an existing SGE environment. Using google I found some examples of Clusters where this has been set up but no information on how this had been done.
Is there some form of howto or tutorial on this anywhere? It doesn't have to be ultra verbose but it should contain enough information to get a "cuda queue" up and running…
Thanks in advance…
Edit: To set up a load sensor about how many GPUs in a node are free, I've done the following:
- set the compute mode of the GPUs to exclusive
- set the GPUs to persistent mode
- add the following script to the cluster configuration as load sensor (and set it so 1 sec.)
#!/bin/sh hostname=`uname -n` while [ 1 ]; do read input result=$? if [ $result != 0 ]; then exit 1 fi if [ "$input" == "quit" ]; then exit 0 fi smitool=`which nvidia-smi` result=$? if [ $result != 0 ]; then gpusav=0 gpus=0 else gpustotal=`nvidia-smi -L|wc -l` gpusused=`nvidia-smi |grep "Process name" -A 6|grep -v +-|grep -v \|=|grep -v Usage|grep -v "No running"|wc -l` gpusavail=`echo $gpustotal-$gpusused|bc` fi echo begin echo "$hostname:gpu:$gpusavail" echo end done exit 0
Note: This obviously works only for NVIDIA GPUs
Best Answer
The strategy is actually fairly simple.
Using
qconf -mc
you can create a complex resource calledgpu
(or whatever you wish to name it). The resource definition should look something like:Then you should edit your exec host definitions with
qconf -me
to set the number of GPUs on exec hosts that have them:Now that you've set up your exec hosts, you can request gpu resources when submitting jobs. eg:
qsub -l gpu=1
and gridengine will keep track of how many GPUs are available.If you have more than one job running per node that uses a GPU you may want to place your GPUs in to exclusive mode. You can do this with the
nvidia-smi
utility.