Please find some Frequently Asked Questions about LUMI below.
Questions? Please see contact details.
When will LUMI start to operate?
LUMI will be installed in two phases: in the first phase, deployed during summer 2021, the CPU partition and storage systems were deployed.
The second installation phase towards the end of the year will bring LUMI to its full grandeur including the GPU partition.
Both installation phases will be concluded with short pilot and acceptance phases. So LUMI will be in full swing in early 2022 but the CPU partition will be available already earlier during autumn 2021.
Together with the CPU capacities, LUMI will feature an Early Access Platform for preparing applications for the GPU partition. LUMI welcomes further early adopter projects from all LUMI consortium countries after the first phase of pilots has been completed.
Where do I find high resolution images for media?
Please have a look at the media section for images, videos and contact details. Please remember the copyright information when using the images.
What kind of research questions will be solved with LUMI?
The creativity of European research communities will eventually determine what kinds of problems are solved with LUMI. To give you some idea of the wide range of issues that could be addresses using LUMI’s resources, we foresee that LUMI will help remarkably with the following kinds of research questions:
- More precise climate models and the interconnection of different climate models: how will living conditions change when the climate is warming?
- The sequencing and analyzing of full genomes combined with data analysis and correlations to clinical data will bring more light to diseases and hereditary diseases: shedding light on the causes of illness and assisting with personalized treatment and medicine
- Artificial intelligence (deep learning): analyzing large data sets (simulated and measured) and reanalyzing e.g. in atmospheric science, environmental science, climate modelling, material science and linguistics
- Self-driving cars and vessels: the study of algorithms related to these with previously unprecedented computing power
- Social sciences: large-scale data set analytics from social networks and the modelling of different phenomena
- LUMI will also have a channel for urgent computing. This, so called “director’s share”, type of allocation will allow to grant some of LUMI’s resources on an ad hoc basis for time- and mission-critical simulations. This kind of simulations might be, for example, related to national or EU security, or some massive disturbance affecting the partner countries, for example a large epidemia or pandemic disease.
How can sensitive data be processed with LUMI?
LUMI will include a solution that enables to bring sensitive data into LUMI and to process it safely there. LUMI will build a solution to safely transport/stream sensitive data for processing in LUMI but it will not be hosting sensitive data archives or repositories. The solution is based on data encryption, virtualization and containers, in addition to sufficient isolation in the system for jobs and file systems. This is under preparation within the LUMI consortium in collaboration with the CSC sensitive data platform and the ELIXIR community. The sensitive data support will not be available from the beginning of the operations but rather from Q2 or Q3 of 2022.
Who will be able to access LUMI?
Half of the LUMI resources belong to the EuroHPC Joint Undertaking, and the other half of the resources belong to the participating countries i.e. the LUMI Consortium countries.
Each consortium country has a share of the resources based on the country’s contribution to the LUMI funding. The shares for each of the countries will be allocated according to local considerations and policies – so LUMI will be seen and handled as an extension to national resources.
The LUMI shares belonging to the EuroHPC JU will be allocated by a peer-review process (comparable to that used for PRACE Tier-0 access). In addition, up to 20% of the EuroHPC resources will be available to industry and SMEs.
A researcher affiliated with one of the LUMI Consortium countries or a company which has its headquarters in the LUMI Consortium countries will be able to apply for LUMI resources via the LUMI Consortium country’s national share and, in addition, via EuroHPC’s technical and scientific peer-review process.
By partnering with European research groups and/or companies, the EuroHPC resources will be available to non-European research projects as well. (Note that the Principle Investigator for any projects that apply for time on LUMI will need to be based in the EU or an associated country.)
The peer-review and application processes are still under negotiation and further details will be announced later closer to the opening of LUMI.
The resources of LUMI will be allocated for projects in terms of three different pools: GPU-hours, CPU-hours, and storage hours. All users of the system will have the access to the whole system in accordance with batch job policies, i.e. there will be no dedicated hardware for any of the partners.
LUMI will also have a channel for urgent computing. This, so called “director’s share”, type of allocation will allow to grant some of LUMI’s resources on an ad hoc basis for time- and mission-critical simulations. This kind of simulations might be, for example, related to national or EU security, or some massive disturbance affecting the partner countries, for example a large epidemia or pandemic disease.
How fast is LUMI?
LUMI supercomputer in Kajaani, Finland, will have processor peak computing power of over 550 petaflop/s.
LUMI’s computing power is equivalent to 1,5 million modern laptops.
How big is LUMI?
LUMI takes over 150m2 of space, which is about the size of a tennis court.
The weight of the system is nearly 150 000 kilograms (150 metric tons).
CSC data center has reserved 2200 m2 of floor space for the installation and the data center is expandable up to 4600 m2.
What is an exaflop?
Exascale supercomputers are the next big step in high-performance computing. One exaflop means processor computing power corresponding to 1018 floating point calculations per second or one trillion calculations per second.
The LUMI supercomputer in Kajaani, Finland, will have processor peak computing power of over 550 petaflop/s.
How will LUMI handle big challenges of the future e.g. possible pandemics?
LUMI will for example speed up the development of new medicines and the simulation of different viruses, and finding cure to them will be much faster.
If there will be new pandemics or other similar phenomena where time- and mission-critical simulations are related to national or EU security, or some massive disturbance affecting the partner countries, LUMI will have a “director’s share” type of allocation which will allow to grant some of LUMI’s resources for urgent computing. Also LUMI’s national allocation pools may be used for urgent operations which have a high societal impact.
A supercomputer requires supercooling, how do you handle this?
LUMI will use warm-water cooling, which enables its waste heat to be utilized in the district heating network of the city of Kajaani, and thus replaces heat produced by fossil fuels.
The waste heat from LUMI that can be used in Kajaani’s district heating network is equivalent to up to 20 per cent of the energy that Kajaani needs to use in the area’s district heating. This reuse of waste heat will reduce the annual CO2 footprint of Kajaani by 13,500 tons – an amount that equals the output from 4000 passenger cars.
The need for cooling is also reduced by the fact that the outdoor temperature and, as a result, the building’s thermal stress is much lower in Kajaani than what it would be in Southern Europe, for instance.
The carbon footprint of the supercomputer is further decreased by the fact that it can be placed in an existing building near existing infrastructure.
Does LUMI mean something as a word?
LUMI is an abbreviation of Large Unified Modern Infrastructure. The LUMI consortium countries are Finland, Belgium, the Czech Republic, Denmark, Estonia, Iceland, Norway, Poland, Sweden, and Switzerland.
LUMI means snow in Finnish. Snow has also inspired the look of the LUMI data center (see the media section for high. res. images).
Three important things which everyone should know about supercomputers?
A supercomputer is a computer with very high performance and among the fastest in the world. One criteria for a supercomputer is regarded to be the top500 list of the world’s fastest computers.
The lifetime of a supercomputer is typically from four to six years.
If compared to cars, supercomputers are like Formula 1 cars compared to normal passenger cars. Supercomputers perform mathematical operations millions of times faster than regular computers. Supercomputers are needed in doing research in various data and computing intensive disciplines such as drug modelling and in climate research.
Where can I look for HPC training that will enable me to work efficiently on LUMI?
There are multiple training options available for beginners, intermediate and advanced HPC users. In order to help you navigate through the broad spectrum of training opportunities, we have collected the links to the most notable training portals for you. Training offered by LUMI user support team can be found at LUMI´s website under Events and Training. In addition, see PRACE training portal, CSC´s training calendar, EuroCC training portal, High-Performance Computing in Europe to find suitable HPC training for the needs of your research.