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trestles_razor_queues [2020/01/29 17:51] root created |
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**Razor** general use queues are (the first four queues are production queues in quantity) | |
<csv> | |
queue,CPU,memory/node,max PBS spec,max PBS time,notes | |
tiny12core,2x Intel X5670 2.93 GHz,24GB,nodes=24:ppn=12,walltime=0:06:00:00, node pool shared | |
med12core,2x Intel X5670 2.93 GHz,24GB,nodes=24:ppn=12,walltime=3:00:00:00, node pool shared | |
tiny16core,2x Intel E5-2670 2.6 GHz,32GB,nodes=18:ppn=16,walltime=0:06:00:00, node pool shared | |
med16core,2x Intel E5-2670 2.6 GHz,32GB,nodes=18:ppn=16,walltime=3:00:00:00, node pool shared | |
debug12core,2x Intel X5670 2.93 GHz,24GB,nodes=2:ppn=12,walltime=0:0:30:00, dedicated | |
debug16core,2x Intel E5-2670 2.6 GHz,32GB,nodes=2:ppn=16,walltime=0:0:30:00, dedicated | |
gpu8core,2x Intel E5520/2xGTX480,12GB,nodes=5:ppn=8,walltime=3:00:00:00,gpu jobs only | |
gpu16core,2x Intel E5-2630V3 2.4 GHz/2xK40c,64GB,nodes=1:ppn=16,walltime=3:00:00:00,gpu jobs only | |
mem96GB12core,2x Intel X5670 2.93 GHz,96GB,nodes=4:ppn=12,walltime=3:00:00:00,>24GB shared memory only | |
student48core,4x AMD 6174 2.2 GHz,256GB,nodes=1:ppn=48,walltime=0:06:00:00,student/debug only | |
mem512GB64core,4x AMD 6276 2.3 GHz,512GB,nodes=2:ppn=64,walltime=3:00:00:00,>96GB shared memory only | |
mem768GB32core,4x Intel E5-4640 2.4 GHz,768GB,nodes=2:ppn=32,walltime=3:00:00:00,>512 GB shared memory only | |
</csv> | |
Production queues for most usage are tiny/med 12core/16core. | |
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**Trestles** general use queues are (the first three queues are production queues in quantity) | |
<csv> | |
queue,CPU,memory/node,max PBS spec,max PBS time,notes | |
q30m32c,4x AMD 6136 2.4 GHz,64GB,nodes=128:ppn=32,walltime=0:0:30:00, node pool shared | |
q06h32c,4x AMD 6136 2.4 GHz,64GB,nodes=128:ppn=32,walltime=0:06:00:00, node pool shared | |
q72h32c,4x AMD 6136 2.4 GHz,64GB,nodes=64:ppn=32,walltime=3:00:00:00, node pool shared | |
q10m32c,4x AMD 6136 2.4 GHz,64GB,nodes=4:ppn=32,walltime=0:0:10:00,or "qtraining" dedicated | |
</csv> | |
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"node pool shared" on tiny/med or q30m/q06h/q72h means that the queues allocate jobs from a common pool of identical nodes, with some dedicated for the shorter queues. | |
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For a complete listing of all defined queues and their properties on each cluster please use the ''**qstat -q**'' command. Output on Trestles is shown below. | |
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