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The backend job scheduler is Gridengine, which is different from the PBS used by NCI, but both work similarly. |
Resource Requests
The table below summarises the major resources attributes which are commonly used in most of the jobs. There are also other attributes which are very helping for fine tuning how a job should be scheduled, whose details are provided in the sub sections.
Resources | Attribute | Description | Default Value |
|---|---|---|---|
Parallel Environments ( | smp | Allocate X number of CPUs on the SAME compute node | Optional, if not specified, a job defaults to use 1 CPU |
mpi | Allocate X number of CPUs from multiple compute node, this is mainly used by a job that implements under Open MPI framework. | ||
Resource request list ( | mem | The amount of memory limit can be used by a job | Default 1024M |
jobfs | The amount of disk space limit can be used by a job | Default 1G | |
walltime | The run time limit (elapsed time) before a job gets killed by the job scheduler | Default 0:30:0 | |
ngpus | The number of GPGPUs | N/A | |
project_name ( | project_name | Request a job to consume resource quota defined via Project. Check Project sub section for details. | Optional, if not specified, default per user quota is consumed instead. |
GPGPU
Two attributes gpu_model and gpu_code allow jobs to request to run on a particular GPGPU card model or chip. To find out what are available:
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# qhost -F | grep gpu_model | sort -u hf:gpu_model=A2 hf:gpu_model=L4 hf:gpu_model=T1000_8GB |
Local Scratch
TODO
Walltime Limit
TODO
Projects
TODO
Rack Awareness
TODO
Submit a Batch Job
A batch job can be submitted by using command qsub, in the following pattern:
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# submit a job which calls a script (bash, shell, python scripts etc) qsub -N JOB_NAME -pe smp NUMBER_OF_CPU -l ATTR1=VAL1,ATTR2=VAL2 SCRIPT # submit a job which calls a BINARY (anything which are not script, such as sleep, dd etc) qsub -N JOB_NAME -pe smp NUMBER_OF_CPU -l ATTR1=VAL1,ATTR2=VAL2 -b y BINARY |
Examples
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# a very big sleep job that needs 16 x CPUs, 2 x GPGPUs, 64GB memory, 10G disk space qsub -b y -N generic_gpgpu -pe smp 16 -l ngpus=2,mem=65G,jobfs=10G sleep 1m # a smaller sleep job that requires the specific A2 GPGPU... qsub -b y -N t1000_gpgpu -pe smp 8 -l ngpus=2,gpgpu_model=A2,mem=16G,jobfs=10G sleep 1m # a big job runs on multiple H100 nodes inside the same physical rack/cabinet F (rack awareness) qsub -b y -N h100_gpgpu -pe mpi 256 -l ngpus=2,gpgpu_model=H100,rack=f,mem=128G,jobfs=100G sleep 1m |
Submission Script
For larger and more complex analyses, the qsub submission script can be very useful. A submission script contains pre-populated qsub parameters, can be reused, distributed and version controlled easily. It looks like:
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#!/bin/bash # # It prints the actual path of the job scratch directory. #$ -pe smp 8 #$ -j y #$ -e logs/$JOB_ID_$JOB_NAME.out #$ -o logs/$JOB_ID_$JOB_NAME.out #$ -cwd #$ -N dd_smp #$ -l mem=1G,jobfs=110G,tmpfree=150G,walltime=00:30:00 # echo "$HOST $tmp_requested $TMPDIR" # about 107GB dd if=/dev/zero of=$TMPDIR/dd.test bs=512M count=200 |
To submit
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z1234567@login01:~$ qsub sge_dd_smp.sh
Your job 31 ("dd_smp") has been submitted |
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