If you are a researcher at SDU, you can now apply for HPC resources for the first half of 2023. Please submit your application on the 15th of December at the latest.
Remember that you can apply for resources on four different types of National Systems:
HPC Type1, Interactive HPC
Access the YouGene cluster hosted at the SDU eScience Center and the GPUs and Virtual Machine (VM) infrastructure at Aalborg University via UCloud by submitting a grant application for a research project as explained in the related documentation.
Resources available to SDU for the first half of 2023: 2,000,000 CPU core hours and 99,000 GPU core hours.
HPC Type 2 – Throughput HPC
Access the HPC Type 2 facilities by submitting an application form via our service desk. The hardware accessible to SDU users for a Type 2 HPC project is shown below. NB: there is no FAT or GPU nodes on Type 2.
| Compurerome 2.0 | GenomeDK | Sophia |
| Xeon Gold 6230 Cascade Lake, 40 cores, 192 GB | AMD EPYC Rome 7452, 64 cores, 512 GB | AMD EPYC 7351, 32 cores, 128 GB |
Resources available to SDU for the first half of 2023: 1,440,000 CPU core hours.
HPC Type 3 – Large Memory HPC
The application form for resources on one of the HPC Type 3 systems should also be submitted to our service desk. The user guide can be found via this link.
Resources available to SDU for the first half of 2023: 800,000 core hours.
LUMI – European pre-exascale supercomputer
LUMI is an abbreviation for “Large Unified Modern Infrastructure”, and is located in CSC’s data center in Kajaani, Finland.
LUMI is one of three European pre-exascale supercomputers part of the EuroHPC project.
For more information, check the official documentation here.
Researchers at SDU can apply for compute time on LUMI by submitting an application form via our service desk.
Resources available to SDU for the first half of 2023: 2,500,000 CPU core hours.
If you need help with/advice on how to write your application, please contact the representative from your faculty in the SDU eScience Center Operational Board:
- Associate Prof. Rocio Chongtay, rocio@sdu.dk(HUM)
- Prof. Hans Jørgen Aagaard Jensen hjj@sdu.dk (NAT)
- Prof. WSR Oliver Baumann oliv@sam.sdu.dk (SAMF)
- Associate Prof. Martin Jakob Larsen martin.larsen@rsyd.dk (SUND)
- Assistant Professor Parisa Niloofar parni@mmmi.sdu.dk (TEK)
