Many SDU researchers succeeded in receiving a DeiC national grant for HPC resources during the latest call. This has freed up local SDU resources, and we are therefore opening a new call to distribute the remaining resources for the first half of 2025 (1st of January to 30th of June).

The current call is continuously open until we have allocated all available resources. We will allocate resources according to a first-come-first-served principle. 

Notice that this call is for SDU researchers only. 

Notice also that since this call is announced outside of the DeiC cycle of calls, it is NOT a requirement that you have also submitted an application to DeiC.

Available resources 

For the present call, the following resources are available: 

Type 2 – DeiC Throughput HPC

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.

Computerome 2.0GenomeDKSophia
Xeon Gold 6230 Cascade Lake, 40 cores, 192 GB AMD EPYC Rome 7452, 64 cores, 512 GBAMD EPYC 7351, 32 cores, 128 GB

Resources available to SDU for the first half of 2025: 1,200,000 CPU core hours.

Type 3 – DeiC Large Memory HPC 

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.

DeiC has decided to close the Type3 service and it is currently unclear how many resources will be available to SDU for the spring period 2025. You can still use the Type 3 service via the low priority queue without an allocation.


LUMI Capability HPC

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.

CPU resources available to SDU for the first half of 2025: 1,050,000 CPU core hours. 

GPU resources available to SDU for the first half of 2025: 69,000 GPU hours.

How to apply

To access the HPC Type 2 and LUMI you must submit an application form via our service desk.

If you want access to the HPC Type3 resources and you have never used the machine previously, please contact support@escience.sdu.dk.

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:

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