Infrastructure for high-level computational research at Aalto University coordinated by the School of Science.
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Science-IT (Aalto Scientific Computing) provides infrastructure for high-level computational research at Aalto University and is coordinated by the School of Science.

Science-IT acts as Aalto’s SCI lead project and has extensive collaboration both within Aalto as well as with other Finnish universities and CSC.

Science-IT serves midrange computing and special resources needed by the School of Science and Aalto University researchers.

Science-IT’s flagship is the Triton computational cluster, which provides resources for data-intensive needs and highly parallel problems able to utilize MPI or GPU technologies. A wide range of research areas can benefit from the computational capabilities offered by Triton, including nanotechnology, complex systems, data mining, and neuroscience.

Science-IT also runs the Aalto Research Software Engineering program, which provides specialized support for researchers which must do programming, software development, or data management in relation to their research.

Science-IT also provides the Scientific Computing in Practice series, which provides hands-on, practical scientific computing related training for intermediate and advanced topics to bridge the gap between academic studies and research needs.

Research areas we support include but are not limited to:

  • method development
  • computational materials research
  • network research
  • neuroscience
  • data mining
  • machine learning and artificial intelligence.

Science-IT is part of the Finnish Grid and Cloud Infrastructure (FCGI). The FGCI research infrastructure provides effective decentralised computational capacity for all branches of science as well as industrial cooperation for the utilisation of the newest grid and cloud technologies. Its goal is to combine resources from various parts of Finland into one broad platform for intensive, demanding computational tasks.

For further information: 

User instructions/scientific computing guideScience-IT's website


Mikko Hakala

Asiantuntija, tieteellinen laskenta
This service is provided by:

School of Science

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