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    High performance computing

    If you need high computing power for data analysis, modelling or machine learning, High Performance Computing (HPC) will give you access to an analysis platform that can handle complex calculations quickly and efficiently.

    HPC is a solution where your project is executed on a super computer in an HPC centre. Unlike traditional servers, HCP allows you to scale the computing power up or down according to your needs.

    Advantages of HCP:

    • High-performance: Calculate and analyse large data volumes much faster than on regular servers.
    • Adaptability: Scale your capacity according to the project requirements.
    • Storage: HPC can store large volumes of data and quickly retrieve these from the memory.

    Not all projects require HCP. If you are working with small data volumes, which can be processed efficiently on a traditional server, a hosted server may be a more cost-efficient solution. If your analyses require extensive data processing, complex simulations or machine learning models, HPC will serve you well. To be able to use HPC for projects with data from Statistics Denmark, the HPC centre in question must have entered an agreement with Statistics Denmark. 

    HPC for health projects via the Danish National Genome Center (NGC)

    If you are working with data from Statistics Denmark and you have a project with a health-related purpose, we offer an HPC solution via the Danish National Genome Center (NGC). The HPC solution uses a One-Node Architecture, where calculations are carried out on one server at a time. The HPC centre is located outside Statistics Denmark, but the project will be created and controlled by Statistics Denmark in the same way as other projects. You will still manage the project via Denmark’s Data Portal. 

    To attach a new or existing project to NGC, you must:

    • Have created a supplementary agreement to your data processing agreement.
    • (Re-)propose you project for approval with Research Services.
    • Make an agreement with NGC.
    • Be able to engage in dialogue with technical staff about the set-up of server access to NGC.

    Payment for use of the HPC centre is settled directly with the centre. For the use of NGC’s HPC infrastructure, you pay for installation, renting of hardware, operation and support. 

    Further information about conditions for login with NGC and prices for installation, renting of hardware, support and operation (pdf, in Danish)

    If you are interested in this solution, you can contact us at forskningsservice@dst.dk, to hear more about the possibilities or get help getting started with HPC.

    New opportunities for Data Sharing through the HPC Solution for Health Projects

    If you wish to work with very large volumes of data, on a project with a health-related purpose, Statistics Denmark now offers a new project setup through our High Performance Computing (HPC) solution at the Danish National Genome Centre (NGC).

     The Shared Secure Processing Environment—known as the SSPE solution—allows 3rd party data providers to make their data available within a closed environment which, in turn, enables users to analyze these data alongside data from Statistics Denmark. This makes it possible to support projects where the volume of the external data exceeds the storage and analyzing capacity of FSE's servers. Furthermore, it ensures that researchers bound by legal agreements not to transfer external data to third parties—including Statistics Denmark—can comply with those obligations.

    The SSPE solution is an advancement of the existing NGC setup. It is not meant as a replacement for the current setup, but as an additional offer to projects requiring greater analytical capacity. The same terms and conditions apply to projects wishing to use the SSPE solution as to those using the NGC solution.

    If you are interested in this solution, please contact us at forskningsservice@dst.dk if you wish to learn more about your options or to receive guidance on how to get started with the SSPE setup.

    Future HCP solutions in Statistics Denmark

    Statistics Denmark is cooperating with DeiC to extend the access to more HPC centres in 2025. We are working on opening for access to more HCP facilities, so that non-health-related projects can also use the analysis platform. This solution will use a Multi-Node Architecture, where calculations can be executed in parallel across several servers resulting in even higher performance.