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Resources of the High Performance Computer 'Elwetritsch'

Partitions

Jobs are organized in partitions according to their resource requirements. Best practice is not to use partitions directly for job submission, but resource requirements and leave the selection of a partition to the batch system. A very important resource is the job run time. It should be specified approximately, see guide. Other important resources are the requested memory of a job or the hardware of a CPU, all described in the guide.

Name Tier Priority State Nodes Job Slots Max Walltime Running Suspended Pending
idle 1 10 UP 899 20146 10 d 432 0 1654
gpuidle 2 20 UP 88 3180 10 d 44 0 0
cpuidle 2 20 UP 326 6256 10 d 0 0 0
epyc-128 3 30 UP 2 64 30 d 0 0 0
epyc-256 3 30 UP 216 3456 30 d 2948 0 22960
epyc-384 3 30 UP 22 704 30 d 0 0 0
epyc-768 3 30 UP 26 832 30 d 0 0 0
skylake-96 3 30 UP 300 7200 30 d 4429 0 1660
skylake-384 3 30 UP 26 624 30 d 384 0 0
haswell-64 3 30 UP 96 1536 30 d 1520 0 15648
haswell-256 3 30 UP 32 512 30 d 178 0 0
haswell-64s 3 30 UP 24 192 30 d 23 0 0
informatik-mind 3 70 UP 3 120 UNLIMITED 77 0 0
bio-csb 3 70 UP 4 224 UNLIMITED 0 0 0
bio-eco 3 70 UP 1 256 UNLIMITED 24 0 0
mv-fbk 3 70 UP 1 16 UNLIMITED 0 0 0
mv-mvt 3 70 UP 1 16 UNLIMITED 0 0 0
mv-ltd 3 70 UP 2 52 UNLIMITED 2 0 0
mv-ltm 3 70 UP 9 62 UNLIMITED 0 0 0
physik-eggert 3 70 UP 3 192 UNLIMITED 0 0 0
physik-fleischhauer 3 70 UP 2 72 UNLIMITED 0 0 0
physik-schneider 3 70 UP 10 176 UNLIMITED 0 0 0
ivw 3 70 UP 4 128 UNLIMITED 0 0 0
uds-hub 3 70 UP 48 2352 21 d 0 0 0
gpu 3 70 UP 33 560 10 d 139 0 0
dgx 3 70 UP 2 320 10 d 0 0 0
bigmem 3 70 UP 5 128 30 d 88 0 3536
10288 0 45458