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Partition | Job Type | Priority | Max cores per job | Max runtime limit | Min runtime limit | Notes |
|---|---|---|---|---|---|---|
interactive | interactive | 14 | 20 | 12 hours | n/a | 2 job limit, 20 core/job limit, 250GiB / job memory limit, default memory 4GB |
short | batch & interactive | 12 | 20 | 12 hours | n/a | 20 core/job limit, 250GiB / job memory limit |
medium | 6 | 20 | 5 days | 12 hours | 20 core/job limit, 250GiB / job memory limit | |
long | 4 | 20 | 30 days | 5 days | 20 core/job limit, 250GiB / job memory limit | |
mpi | 12 | 640 | 5 days | n/a | invite-only. Email rchelp | |
priority | 14 | 20 | 30 days | n/a | limit 2 jobs running at once, 20 core per job limit 250GiB / job memory limit | |
transfer | n/a | 4 | 5 days | n/a | limit of a 5 concurrently cores per user for transfers between O2 and See File Transfer for more information. Invite-only. Email rchelp. | |
gpu, gpu_quad | n/a | 20 | 5 days | n/a | additional limits apply to the GPU partition, see the Using O2 GPU resources page for more details | |
gpu_mpi_quad | n/a | 240 | 5 days | n/a | invite-only. Email rchelp | |
gpu_requeue | n/a | 20 | 24 hours | n/a | see O2 GPU Re-Queue Partition for additional details | |
highmem | n/a | 16 | 5 days | n/a | invite-only. Email rchelp |
| Info |
|---|
K, KB, M, MB, G, and GB are valid units for the memory ( |
There is a limit on the total CPU-hours that can be reserved by a single lab at any given time. This limit was introduced to prevent a single lab from locking down a large portion of the cluster for extended periods of time. This limit will become active only if multiple users in the same lab are allocating a large portion of the O2 cluster resources. This can for example happen if few users have thousands of multi-day or hundreds of multi-week running jobs. When this limit becomes active the remaining pending jobs will display the message AssocGrpCPURunMinute.
Note: The "gpu" partition has additional limits that might trigger the above message, for more details about the "gpu" partition please refer to the "Using O2 GPU resources" wiki page
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