Many SDU researchers succeeded in receiving a DeiC national grant for HPC resources during the latest call. This has freed up a lot of local SDU resources, and we are therefore opening a new call to distribute the remaining resources for the first half of 2024.
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.
For the present call, the following resources are available:
Type1 – DeiC Interactive HPC
The type 1 system is mainly focused on interactive computing and easy access for users. The system is made of the YouGene cluster hosted at SDU (see cluster specs here) and the OpenStack cluster at AAU. SDU researchers can access the cluster resources via their UCloud account.
Resources available to SDU for the first half of 2024: 864,000 CPU core hours and 98,000 GPU hours.
Type 2 – DeiC Throughput HPC
Resources available: 1,000,000 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: 1,427,500 CPU 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: 550,000 CPU core hours.
GPU resources available: 44,000 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:
- Assistant Prof. Zhiru Sun, zhiru@sdu.dk (HUM)
- Prof. Hans Jørgen Aagaard Jensen hjj@sdu.dk (NAT)
- Prof. Christian Møller Dahl cmd@sam.sdu.dk (SAMF)
- Associate Prof. Martin Jakob Larsen martin.larsen@rsyd.dk (SUND)
- Assistant Professor Parisa Niloofar parni@mmmi.sdu.dk (TEK)