High-performance computing Lab (HPCLab)
Our research group develops and utilises high-performance and data intensive computing (HPC) methods and applications for heterogeneous NUMA-architectures.
Our spearhead area is astroinformatics, namely methods and tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, and interstellar matter in galaxies. The developed methods include simulation tools accelerated with graphics processing units, and data-analysis tools employing machine learning. Our current projects aim at understanding, predicting, and mitigating the harmful effects from solar magnetic activity (ERC consolidator grant UniSDyn, ERC proof-of-concept grant SYCOS, Inno4Scale project NEOSC).
Our spearhead area is astroinformatics, namely methods and tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, and interstellar matter in galaxies. The developed methods include simulation tools accelerated with graphics processing units, and data-analysis tools employing machine learning. Our current projects aim at understanding, predicting, and mitigating the harmful effects from solar magnetic activity (ERC consolidator grant UniSDyn, ERC proof-of-concept grant SYCOS, Inno4Scale project NEOSC).
News
HPCLab research group news
LLM seminar
Seminar on Large Language Models in the CS Department
Tips for designing social welfare and healthcare sector’s digital services for all
Tips for designing social welfare and healthcare sector’s digital services for all.
Human-Centred Health Informatics (HCHI)
HCHI research group
Evidence of turbulent dynamo action in the Sun
Astroinformatics research group has determined magnetic helicity spectrum from the solar surface observations using the recently developed two-scale formalism.People
Latest publications
More information on our research in the Aalto research portal.