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qsub run.pbs 824.pbsserver [s2594054@n027 namd]$ qstat Job id Name User Time Use S Queue ---------------- ---------------- ---------------- -------- - ----- 812.pbsserver 3nss s2795116 00:00:02 R workq 813.pbsserver 1ivf_naen s2795116 00:00:01 R workq 818.pbsserver 1ivf_apo s2795116 00:00:01 R workq 819.pbsserver 1nn2 s2795116 00:00:00 R workq 821.pbsserver 1ivg s2795116 00:00:00 R workq 824.pbsserver CudaJob s2594054 00:00:00 R gpu |
Another sample PBS script (n060 node)
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#!/bin/bash
#PBS -m abe
#PBS -M yourEmail@griffith.edu.au
#PBS -N testImage
#PBS -q dljun@n060
#PBS -W group_list=deeplearning -A deeplearning
#PBS -l select=1:ncpus=1:ngpus=1:mem=12gb,walltime=300:00:00
#PBS -j oe
cd $PBS_O_WORKDIR
module load anaconda/5.3.1py3
source activate tensorflow-gpu
echo $CUDA_VISIBLE_DEVICES
GPUNUM=`echo $CUDA_VISIBLE_DEVICES`
sleep 2000
##echo "python main.py --cfg cfg/config3.yml --gpu $GPUNUM &"
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Installation
We use Tesla nvidia C2050 GPUs.
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