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.

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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

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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

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

Maarit Korpi-Lagg turned her childhood hobbies into a living

As a child, Maarit Korpi-Lagg 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

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Related research groups

Latest publications

Hercules

Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro Frangi, U. Rajendra Acharya, Abbas Khosravi, H. K. Lam, Alexander Jung, Saeid Nahavandi 2023 IEEE Transactions on Industrial Informatics

HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks

Linh Truong, Nguyen Ngoc Nhu Trang 2023 2022 IEEE International Conference on Big Data (IEEE BigData 2022)

Efficient Classification of Locally Checkable Problems in Regular Trees

Alkida Balliu, Sebastian Brandt, Yi-Jun Chang, Dennis Olivetti, Jan Studený, Jukka Suomela 2022 36th International Symposium on Distributed Computing (DISC 2022)

Locally checkable problems in rooted trees

Alkida Balliu, Sebastian Brandt, Yi Jun Chang, Dennis Olivetti, Jan Studený, Jukka Suomela, Aleksandr Tereshchenko 2022 DISTRIBUTED COMPUTING

Local Mending

Alkida Balliu, Juho Hirvonen, Darya Melnyk, Dennis Olivetti, Joel Rybicki, Jukka Suomela 2022 Structural Information and Communication Complexity - 29th International Colloquium, SIROCCO 2022, Proceedings

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters

Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc 2022 Proceedings of the 39th International Conference on Machine Learning, PMLR

Vector-Valued Least-Squares Regression under Output Regularity Assumptions

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc 2022 Journal of Machine Learning Research

Sparse Matrix Multiplication in the Low-Bandwidth Model

Chetan Gupta, Juho Hirvonen, Janne H. Korhonen, Jan Studený, Jukka Suomela 2022 SPAA 2022 - Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures
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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