Apply for HPC resources (SDU employees only)

We are opening a new call for national HPC resources at SDU. The resources will be available during the first half of 2024 (1st of January to 30th of June).

Please submit your application on December 3rd at the latest.

Notice that this call is for SDU researchers only.

Notice also that since this call is announced outside of the DeiC cycle of calls (here the deadline was 5th of September), it is NOT a requirement that you have also submitted an application to DeiC.

Finally, please be aware that if you submitted an application to us during the previous SDU call (deadline 5th of October), your application is still under evaluation. You will not need to apply again, unless you want additional resources on top of what you asked for in your previous application.

For the present call, the following resources are available:

Type 2 – DeiC Throughput HPC

Resources available: 600,000 CPU core hours.

This type of HPC system typically has a large number of cores which can be a mix between cost-effective and calculation-efficient units. Type 2 also has the ability to handle large amounts of data and its main focus is on high-throughput performance.

There are three type 2 HPC systems available at national level for SDU researchers:

The hardware accessible to SDU users for a type 2 HPC project is shown in the table below.

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

Access the HPC Type 2 facilities by submitting an application form via our service desk.

Type 3 – DeiC Large Memory HPC

Resources available: 470,000 core hours.

This type of HPC system focuses on problem solving, with a structure that cannot be easily or efficiently distributed between many computer nodes. This is a type of system that is characterized by typically relatively few cores with access to a large globally addressable memory area.

Type 3 is hosted and maintained at SDU. For the cluster specs check here. The user guide can be found at this link.

The application form for resources on one of the HPC Type 3 systems should also be submitted to our service desk.

LUMI Capability HPC

CPU resources available: 1,000,000 CPU core hours.

GPU resources available: 30,000 GPU hours.

LUMI is an abbreviation for “Large Unified Modern Infrastructure”. LUMI is one of the three European pre-exascale supercomputers part of the EuroHPC project and located in CSC’s data center in Kajaani, Finland.

Denmark participates in the consortium behind the LUMI supercomputer. Part of the LUMI machine therefore belongs exclusively to Denmark and is, in this sense, considered a national HPC resource.

For more information on LUMI, check the official documentation here.

Researchers at SDU can apply for compute time on LUMI by submitting an application form via our service desk.

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: