Systems

Sapelo2

Sapelo2 is a Linux cluster that runs a 64-bit Rocky 8.8 operating system and it is managed using Warewulf. Several virtual login nodes are available, with Intel Xeon Gold 6230 processors, 32GB of RAM, and 16 cores per node. The queueing system on Sapelo2 is Slurm.

Internodal communication among the compute nodes and between these nodes and the storage systems serving the home directories and the scratch directories is provided by an EDR Infiniband network (100Gbps).

The cluster is currently comprised of the following resources:

Regular nodes

• 119 compute nodes with AMD EPYC (Milan 3rd gen) processors (128 cores and 512GB of RAM per node)
• 4 compute nodes with AMD EPYC (Milan 3rd gen) processors (64 cores and 256GB of RAM per node)
• 2 compute nodes with AMD EPYC (Milan 3rd gen) processors (64 cores and 128GB of RAM per node)
• 123 compute nodes with AMD EPYC (Rome 2nd gen) processors (64 cores and 128GB of RAM per node)
• 64 compute nodes with AMD EPYC (Naples 1st gen) processors (32 cores and 128GB of RAM per node)
• 42 compute nodes with Intel Xeon Skylake processors (32 cores and 192GB of RAM per node)

High memory nodes (2TB/node)

• 2 compute nodes with AMD EPYC processors (32 cores and 2TB of RAM per node)

High memory nodes (1TB/node)

• 2 compute nodes with AMD EPYC (Milan 3rd gen) processors (128 cores and 1TB of RAM per node)
• 5 compute nodes with AMD EPYC (Milan 3rd gen) processors (32 cores and 1TB of RAM per node)
• 4 compute nodes with AMD EPYC (Naples 1st gen) processors (64 cores and 1TB of RAM per node)
• 4 compute nodes with Intel Xeon Broadwell processors (28 cores and 1TB of RAM per node)

High memory nodes (512GB/node)

• 18 compute nodes with AMD EPYC (Naples 1st gen) processors (32 cores and 512GB of RAM per node)

GPU nodes

• 12 compute nodes with AMD EPYC (Milan 3rd gen) processors (64 cores and 1TB of RAM) and 4x NVIDIA A100 GPU cards.
• 2 compute nodes with Intel Xeon Skylake processors (32 cores and 187GB of RAM) and 1x NVIDIA P100 GPU card per node

Buy-in nodes

• Various configurations

Migrating from Torque to Slurm

Training material

To help users familiarize with Slurm and the test cluster environment, we have prepared some training videos that are available from the GACRC's Kaltura channel at https://kaltura.uga.edu/channel/GACRC/176125031 (login with MyID and password is required). Training sessions and slides are available at https://wiki.gacrc.uga.edu/wiki/Training

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Teaching cluster

The teaching cluster is a Linux cluster that runs a 64-bit Linux, with Rocky 8.8. The login node is a VM that has 4 cores (Intel Xeon Gold 6230 processor) and 16GB of RAM. An EDR Infiniband network (100Gbps) provides internodal communication among compute nodes, and between the compute nodes and the storage systems serving the home directories and the work directories.

The cluster is currently comprised of the following resources:

Regular nodes:

• 10 compute nodes with AMD EPYC (Naples 1st gen) processors (32 cores and 128GB or RAM per node)

High-memory nodes:

• 2 compute nodes with AMD EPYC (Naples 1st gen) processors (64 cores and 1TB of RAM per node)

GPU nodes:

• 1 compute node with Intel Skylake processors (32 cores, 192GB RAM per node) and a P100 GPU card

The queueing system on the teaching cluster is Slurm.

Software Installed on the teaching cluster

The list of installed application is available at Software page.