Department of Computer Science

Large-scale Computing and Data Analysis

Large-scale distributed/parallel systems and big data analysis and management.
Symbolic big data illustration by Matti Ahlgren

The area focuses on novel methods, techniques, algorithms, and tools both for computing with large-scale distributed/parallel systems, and for big data analysis and management. Another focus is on identifying, optimizing, engineering, and verifying computationally challenging parts of software systems, dealing with huge amounts of data and computing resources, used in various application domains.

Research topics:

  • Programming models, tools and runtime systems for large-scale computing
  • Data intensive computing
  • High performance/extreme-scale computing/quantum computing
  • Performance, reliability, and elasticity for large-scale systems
  • Big data platforms and management
  • Large-scale data analysis and visualization
  • Data science and machine learning in large-scale systems
  • Computational models/algorithms for astrophysics, biophysics, dynamical systems, space plasmas, fusion plasmas, geoscience/earth observation
Guest Talk tapahtumakuva

Guest talk: José R. Herrero "Profiling parallel applications with Paraver"

Professor José R. Herrero from Universitat Politècnica de Catalunya - BarcelonaTech will give a guest talk at the Department of Computer Science.

Events
Kuva myrskytuhoista Kolilla

Machine learning helps to predict blackouts caused by storms

Train delays related to adverse weather can also be predicted with good quality training data, a new thesis shows.

News
Heli Julkunen seisoo talvisessa maisemassa ja katsoo hymyillen pois kamerasta. Hänellä on päällään valkoinen talvitakki ja taustalla näkyy sumua, puita ja lumihankia.

If you study computer science, you may end up developing better cancer treatments by applying AI

Heli Julkunen developed a machine learning method that predicts how different drug combinations kill cancer cells, and now she helps advance preventive healthcare as a data scientist

News
An illustration showing how stars consist of a core, a radiation zone and a convection zone. In giant stars, the convection zone is proportionately much larger.

Turbulent convection at the heart of stellar activity

By combining modern data analysis techniques with stellar structure modelling for main-sequence and giant stars, researchers shed new light on stellar dynamos

News
Nainen seisoo ja katsoo sivulle hymyillen kädet puuskassa. Hänellä on päällään musta paita ja sininen huivi ja aurinko värjää taustaa vaaleaksi.

Maarit Käpylä turned her childhood hobbies into a living

As a child, Maarit Käpylä was interested in the stars and coding, and now she researches the activity of the sun, which could not be done without computer science

News
Linh Nguyen sitting in a room full of Fatboy beanbags

‘Aalto is a safe place for building your skills and confidence’

Linh Nguyen wanted to obtain a degree with good job prospects and that is why she decided to study Data Science at Aalto University

News

People

Jorma Laaksonen

Jorma Laaksonen

Senior University Lecturer
T313 Dept. Computer Science
Riku Linna

Riku Linna

Vanhempi yliopistonlehtori
Jukka Suomela

Jukka Suomela

Associate Professor
T313 Dept. Computer Science
Linh Truong

Linh Truong

Associate Professor
T313 Dept. Computer Science

Related research groups

Latest publications

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

Almost global problems in the LOCAL model

Alkida Balliu, Sebastian Brandt, Dennis Olivetti, Jukka Suomela 2021 DISTRIBUTED COMPUTING

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

Modeling drug combination effects via latent tensor reconstruction

Tianduanyi Wang, Sandor Szedmak, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu 2021 Bioinformatics

Hunting down the cause of solar magnetism

Mariangela Viviani, Ameya Prabhu, Jörn Warnecke, Lucia Duarte, Johannes Pekkilä, Matthias Rheinhardt, Maarit Käpylä 2021 High Performance Computing Science and Engineering

Predicting power outages caused by extratropical storms

Roope Tervo, Ilona Láng, Alexander Jung, Antti Mäkelä 2021 NATURAL HAZARDS AND EARTH SYSTEM SCIENCES

Flow-Based Clustering and Spectral Clustering

Y. Sarcheshmehpour, Y. Tian, L. Zhang, A. Jung 2021 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021

Federated learning from big data over networks

Y. Sarcheshmehpour, M. Leinonen, A. Jung 2021 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Inferring magnetic helicity spectrum in spherical domains

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

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

Axel Brandenburg, Anders Johansen, Philippe Bourdin, Wolfgang Dobler, Wladimir Lyra, Matthias Rheinhardt, Sven Bingert, Nils Haugen, Antony Mee, Frederick Gent, Natalia Babkovskaia, Chao-Chin Yang, Tobias Heinemann, Boris Dintrans, Dhrubaditya Mitra, Simon Candelaresi, Jörn Warnecke, Petri Käpylä, Andreas Schreiber, Piyali Chatterjee, Maarit Käpylä, Xiang-Yu Li, Jonas Krüger, Jørgen Aarnes, Graeme Sarson, Jeffrey Oishi, Jennifer Schober, Raphaël Plasson, Christer Sandin, Ewa Karchniwy, Luiz Rodrigues, Alexander Hubbard, Gustavo Guerrero, Andrew Snodin, Illa Losada, Johannes Pekkilä, Chengeng Qian 2021 JOURNAL OF OPEN SOURCE SOFTWARE
More information on our research in the Research database.
Research database

Related units

Helsinki Institute for Information Technology HIIT (external link)

Collaborative institute for research on information technology.

HIIT

Finnish Center for Artificial Intelligence FCAI (external link)

International research hub for artificial intelligence

Finnish Center for Artificial Intelligence
PML research gropu at department of computer science, photo Matti Ahlgren

Research areas

Research areas in the Department of Computer Science

Department of Computer Science
Aerial photo of Computer Science Building at Aalto University campus

Department of Computer Science

To foster future science and society.

Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

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