Available batch job partitions

Note

The available LUMI batch job partitions are found in the LUMI documentation.

Puhti partitions

The following partitions (aka queues) are currently available in Puhti for normal (CPU) nodes:

Partition	Time limit	Max tasks	Max nodes	Node types	Max memory	Max local storage (NVMe)
test	15 minutes	80	2	M	185 GiB
interactive	7 days	8	1	IO	76 GiB	720 GiB
small	3 days	40	1	M, L, IO	373 GiB	3600 GiB
large	3 days	1040	26	M, L, IO	373 Gib	3600 GiB
longrun	14 days	40	1	M, L, IO	373 GiB	3600 GiB
hugemem	3 days	160	4	XL, BM	1496 GiB
hugemem_longrun	14 days	40	1	XL, BM	1496 GiB

The following partitions are available on GPU nodes. Note that for each GPU, you should reserve at most 10 cores/task.

Partition	Time limit	Max GPUs	Max nodes	Node types	Max memory	Max local storage (NVMe)
gputest	15 minutes	8	2	GPU	373 GiB	3600 GiB
gpu	3 days	80	20	GPU	373 GiB	3600 GiB

Information about the partition:

sinfo

or

scontrol show partition <partition_name>

Notes on partitions

• ** Only request the memory you need **
  • The jobs will run sooner, since in each partition, most of the nodes have less memory than the maximum amount
  • Billing is based on memory requested, not on memory used
• ** Only use longrun partitions if necessary **
  • These partitions have stricter limits and a lower priority
• ** Only one job per user is allowed in interactive partition **
  • Use this partition with the command sinteractive.

Mahti partitions

The following full-node partitions (aka queues) are currently available in Mahti on CPU nodes. When using these partitions, your jobs use all resources available on the node and won't share the node with other jobs.

Partition	Nodes	Time limit	Access
test	1-2	1 hours	all
medium	1-20	36 hours	all
large	20-200	36 hours	scalability test
gc	200-700	36 hours	Grand Challenge

The following partition is available for allocation by resources in Mahti on CPU nodes. 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. Each core reserved will provide 1.875 GB of memory and the only way to increase the memory reservation is to increase the number of cores reserved.

Partition	Cores	Time limit	Max memory	Access
interactive	1-32	7 days	60 GiB	all

The following partitions are available on GPU nodes. Note that for each GPU, you can reserve at most 32 cores/task and for each GPU the job is allocated 122.5 GiB of memory.

Partition	Time limit	Max GPUs	Max nodes	Node types	Max local storage (NVMe)
gputest	15 minutes	4	1	GPU	3800 GiB
gpusmall	36 hours	2	1	GPU	3800 GiB
gpumedium	36 hours	24	6	GPU	3800 GiB

Interactive partition, is intended for pre- and post processing tasks. It can be used both for interactive working and in batch jobs, where reserving a full node is not reasonable.

The basic CPU based HPC computing should be done in medium, large or gc partitions. Only full nodes are allocated from these partitions and the jobs will have access to all cores and memory in the nodes. You may choose to run with fewer cores if that gives better performance. In these partitions billing is based on the allocated nodes.

The large partition on Mahti is only accessible to projects that have done a scalability test and shown good utilization of the resources. The partition gc is only accessible to Grand Challenge projects and allows users to run extremely large simulations.

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