Department of Computer Science


The group develops and utilises high-performance computing tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, interstellar matter in galaxies. The developed methods include simulation tools accelerated with graphics processing units, and data-analysis tools employing machine learning. One of our current projects is to understand, predict, and mitigate the harmful effects from solar magnetic activity (ERC consolidator grant UniSDyn).
Model of the Sun from PRACE project INTERDYNS
Solar convection zone modelled in the PRACE project INTERDYNS. Simulations were performed with the Pencil Code. Image copyright Ameya Prabhu.


Astroinformatics research group news

55-point stencil for astrophysical simulations. Image credit: Johannes Pekkilä
Department of Computer Science

Modern HPC tools course

Modern HPC tools course: new course starting on Period II.
Turbulence at high Reynolds number in solar-like conditions. Image credit: Jörn Warnecke, MPS
Department of Computer Science

LUMI-G pilot

VISSI-project was selected as LUMI-G pilot
ReSolve CoE (Astroinformatics research group) determined magnetic helicity spectrum
Department of Computer Science

The Sun shows signatures of turbulent dynamo action

Astroinformatics research group has determined magnetic helicity spectrum from the solar surface observations using the recently developed two-scale formalism.
Figure 2a from Gent et al.
Department of Computer Science

Small-Scale Dynamo in Supernova-Driven Interstellar Turbulence?

Yes: simulations confirm small-scale dynamo action in the interstellar medium.


Frederick Gent

Frederick Gent

Research Fellow
T313 Dept. Computer Science

Oskar Johannes Lappi

Project Employee

Nigul Olspert

Postdoctoral Researcher

Johannes Pekkilä

T313 Dept. Computer Science

Jan Snellman

Postdoctoral Researcher

Simo Tuomisto

Asiantuntija, tieteellinen laskenta

Latest publications

Mean fields and fluctuations in compressible magnetohydrodynamic flows

James F. Hollins, Graeme R. Sarson, Cetin Can Evirgen, Anvar Shukurov, Andrew Fletcher, Frederick A. Gent 2022 GEOPHYSICAL AND ASTROPHYSICAL FLUID DYNAMICS

Topological changes in the magnetic field of LQ Hya during an activity minimum

J. J. Lehtinen, M. J. Käpylä, T. Hackman, O. Kochukhov, T. Willamo, S. C. Marsden, S. V. Jeffers, G. W. Henry, L. Jetsu 2022 Astronomy and Astrophysics

Scalable communication for high-order stencil computations using CUDA-aware MPI

Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi 2022 PARALLEL COMPUTING

Zeeman-Doppler imaging of five young solar-type stars

T. Willamo, J. J. Lehtinen, T. Hackman, M. J. Käpylä, O. Kochukhov, S. V. Jeffers, H. Korhonen, S. C. Marsden 2022 Astronomy and Astrophysics

Compressible Test-field Method and Its Application to Shear Dynamos

Maarit J. Käpylä, Matthias Rheinhardt, Axel Brandenburg 2022 The Astrophysical Journal

Inferring magnetic helicity spectrum in spherical domains

A. P. Prabhu, N. K. Singh, M. J. Käpylä, A. Lagg 2021 Astronomy and Astrophysics

Investigating global convective dynamos with mean-field models: full spectrum of turbulent effects required

Jörn Warnecke, Matthias Rheinhardt, Mariangela Viviani, Frederick Gent, Simo Tuomisto, Maarit J. Käpylä 2021 Astrophysical Journal Letters

Interaction of large- and small-scale dynamos in isotropic turbulent flows from GPU-accelerated simulations

Miikka Väisälä, Johannes Pekkilä, Maarit Käpylä, Matthias Rheinhardt, Hsien Shang, Ruben Krasnopolsky 2021 The Astrophysical Journal

Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games

Jan E. Snellman, Rafael A. Barrio, Kimmo K. Kaski 2021 Physica A: Statistical Mechanics and its Applications
More information on our research in the Research database.
Research database
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