Available Partitions

The partition setup of LUMI prioritizes jobs that aim to scale out. As a consequence most nodes are reserved for jobs that use all available resources. However, some nodes are reserved for smaller allocations and debugging.

Partitions allocatable by node

The following partitions are available for allocation by nodes. When using these partitions, your jobs use all resources available on the node and won't share the node with other jobs. Therefore, make sure that your application can take advantage of all the resources on the node as you will be billed for the complete node regardless of the resource actually used.

Name	Max walltime	Max jobs	Max ressources/job
standard	2 days	100	500 nodes
bench	1 day	n/a	All nodes

The bench partition is not available by default and is reserved for large-scale runs. Projects wishing to have access to this partition must send a request to the support.

Partitions allocatable by resources

The following partitions are available for allocation by resources. This means that you can request a sub-node allocation: you can request only part of the resources (cores and memory) available on the compute node. This also means that your job may share the node with other jobs.

Name	Max walltime	Max jobs	Max ressources/job
debug	30 minutes	1 running 1 queuing	4 nodes
small	3 days	200	4 nodes

Large Memory Nodes

The large memory nodes (512GB and 1TB) are located in the small partition. Therefore, in order to use these nodes, you need to select the small partition (--partion=small). Then, the large memory nodes will be allocated if you request more memory than the standard compute nodes.

Getting information about partitions

A list of the available partitions can be obtained using the sinfo command. If you want more precise information about a particular partition, you can use the following command:

scontrol show partition <partition-name>

The output of this command will give you information about the defaults and limits which applies to the <partition-name> partition.