We are opening a new call to distribute the remaining resources for the second 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
Resources available to SDU for the second half of 2024: 750,000 CPU core hours and 56,000 GPU hours.
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.
NB: Due to limited resources, it is not possible to ask for more than 50TB of data on Type1 via the DeiC funds. If you would like to pay for resources on Type1 via your research grant, please contact our service desk.
Type 2 – DeiC Throughput HPC
Resources available: 200,000 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.
SDU researchers can apply for Type 3 resources via their UCloud account.
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)