Built-in clusters
Row includes built-in support for the following clusters.
Andes (OLCF)
Row automatically selects from the following partitions on Andes:
batch
important
Andes has no shared partition. All jobs must use 32 CPUs per node.
Anvil (Purdue)
Row automatically selects from the following partitions on Anvil:
sharedwholenodegpu
Other partitions may be selected manually.
There is no need to set --mem-per-* options on Anvil as the cluster automatically
chooses the largest amount of memory available per core by default.
important
The whole node partitions require that each job submitted request an integer multiple of 128 CPU cores.
Delta (NCSA)
Row automatically selects from the following partitions on Delta:
cpugpuA100x4
important
NCSA Delta assigns <prefix>-cpu and <prefix>-gpu accounts. Set
submit_options.delta.account = "<prefix>". Row will automatically append the
-cpu or -gpu when submitting to the CPU or GPU partitions respectively.
Delta jobs default to a small amount of memory per core. Row inserts
--mem-per-cpu or --mem-per-gpu to select the maximum amount of memory possible that
allows full-node jobs and does not incur extra charges.
Frontier (OLCF)
Row automatically selects from the following partitions on Frontier:
batch
important
Frontier has no shared partition. All jobs must use 8 GPUs per node.
Great Lakes (University of Michigan)
Row automatically selects from the following partitions on Great Lakes:
standardgpu_mig40,gpugpu
Other partitions may be selected manually.
Great Lakes jobs default to a small amount of memory per core. Row inserts
--mem-per-cpu or --mem-per-gpu to select the maximum amount of memory possible that
allows full-node jobs and does not incur extra charges.
tip
The gpu_mig40,gpu partition is selected only when there is one GPU per job.
This is a combination of 2 partitions which decreases queue wait time due to the
larger number of nodes that can run your job.
Development of row is led by the Glotzer Group at the University of Michigan.
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