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Using partitions

Using partitions


In general, it is not needed to choose a partition for your job, as this is done for you by the job modifier script depending on the project and resources you are asking for.
Every project has a default partition and (eventuelly) additional partitions, it is allowed to to submit to.



#nodes#cores per node#mem per nodebillingremarks
c18m124048192cpu=1 mem=0.25default partition for default project
c18g5448192cpu=1 mem=0.25 gpu=242 V100 gpus, request of volta gpu needed to submit to this partition
c16m60824128cpu=1 mem=0.1875project needed to be able to submit to
c16s81441024cpu=1 mem=0.140625project needed to be able to submit to
c16g924128cpu=1 mem=0.1875 gpu=122 P100 gpus, request of pascal gpu needed to submit to this partition

In general it is not required or recommended to submit a job to a specific partition, since the selection is driven by the project and/or the specified job requirements. However, in some cases (e.g., performance analysis of specifice hardware) it might be relevant.


Explanation of the billing values of the table:

cpu is clear, one cpu equals the requested cores
mem means cores per gigabyte, for c18m e.g. 1 GB requested memory equals to 0.25 cores, or 4 GB equal to 1 core
gpu: there are only gpu jobs allowed on the gpu nodes, each node has 2 gpus, thus 1 gpu equals to a half node

zuletzt geändert am 14.07.2022

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