Infrastructure
The Stevin computing infrastructure consists of several Tier2 clusters which are hosted in the S10 datacenter of Ghent University.
This infrastructure is co-financed by FWO and Department of Economy, Science and Innovation (EWI).
Tier-2 login nodes
Log in to the HPC-UGent Tier-2 infrastructure using SSH via login.hpc.ugent.be .
Tier-2 compute clusters
CPU clusters
The HPC-UGent Tier-2 infrastructure currently included several standard CPU-only clusters, of different generations (listed from old to new).
For basic information on using these clusters, see our documentation .
| cluster name | # nodes | Processor architecture | Usable memory/node | Local diskspace/node | Interconnect | Operating system |
| skitty | 72 | 2 x 18-core Intel Xeon Gold 6140 (Skylake @ 2.3 GHz) |
177 GiB | 1 TB 240 GB SSD |
EDR InfiniBand | RHEL 8 |
| doduo (default cluster) |
128 |
2x 48-core AMD EPYC 7552 |
250 GiB | 180GB SSD | HDR-100 InfiniBand | RHEL 8 |
| gallade (more info) |
16 |
2x 64-core AMD EPYC 7773X |
940 GiB | 1.5 TB NVME | HDR-100 InfiniBand | RHEL 8 |
Interactive debug cluster
A special-purpose interactive debug cluster is available, where you should always be able to get a job running quickly, without waiting in the queue .
Intended usage is mainly for interactive work, either via an interactive job or using the HPC-UGent web portal .
This cluster is heavily over-provisioned, so jobs may run slower if the cluster is used more heavily.
Strict limits are in place per user: max. 5 jobs in queue, max. 3 jobs running, max. of 8 cores and 27GB of memory in total for running jobs.
For more information, see our documentation .
| cluster name | # nodes | Processor architecture | Usable memory/node | Local diskspace/node | Interconnect | Operating system |
| donphan (more info) |
16 | 2 x 18-core Intel Xeon Gold 6240 (Cascade Lake @ 2.6 GHz) + 1x shared NVIDIA Ampere A2 GPU (16GB GPU memory) |
738 GiB | 1.6 TB NVME | HDR-100 Infiniband | RHEL 8 |
GPU clusters
GPU clusters are available in the HPC-UGent Tier-2 infrastructure, with different generations of NVIDIA GPUs.
These are well suited for specific workloads, with software that can leverage the GPU resources (like TensorFlow, PyTorch, GROMACS, AlphaFold, etc.).
For more information on using these clusters, see our documentation.
| cluster name | # nodes | Processor architecture & GPUs (per node) |
Usable memory/node | Local diskspace/node | Interconnect | Operating system |
| joltik | 10 |
2x 16-core Intel Xeon Gold 6242 (Cascade Lake @ 2.8 GHz) 4x NVIDIA Volta V100 GPUs (32GB GPU memory) |
256 GiB | 800GB SSD | double EDR Infiniband | RHEL 8 |
| accelgor | 9 |
2x 24-core AMD EPYC 7413 (Milan @ 2.2 GHz) 4x NVIDIA Ampere A100 GPUs (80GB GPU memory) |
500 GiB | 180GB SSD | HDR InfiniBand | RHEL 8 |
Tier-2 shared storage
| Filesystem name | Intended usage | Total storage space | Personal storage space | VO storage space (*) |
| $VSC_HOME | Home directory, entry point to the system | 90 TB | 3GB (fixed) | (none) |
| $VSC_DATA |
Long-term storage of large data files |
1.9 PB |
25GB (fixed) |
250GB |
| $VSC_SCRATCH | Temporary fast storage of 'live' data for calculations | 1.7 PB | 25GB (fixed) | 250GB |
| $VSC_SCRATCH_ARCANINE | Temporary very fast storage of 'live' data for calculations (recommended for very I/O-intensive jobs) |
70 TB NVME | (none) | upon request |
* Storage space for a group of users (Virtual Organisation or VO for short) can be increased significantly on request.
For more information, see our documentation .