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:

• shared
• wholenode
• gpu

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:

• cpu
• gpuA100x4

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:

• standard
• gpu_mig40,gpu
• gpu

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.