Computer Science - Large-scale Computing and Data Analysis (LSCA) - Research area

  • Postal addressShow on map

    Konemiehentie 2, Computer Science building

    Finland

Organisation profile

Organisation profile

Large-scale Computing and Data Analysis
Department of Computer Science Research area

Large-scale distributed/parallel systems and big data analysis and management.

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

Research area webpage: https://www.aalto.fi/en/department-of-computer-science/large-scale-computing-and-data-analysis

Department of Computer Science

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 13 - Climate Action

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Clustering students’ text form feedback data: comparison of eight vector space models

    Hämäläinen, W., Rybicki, J.-M., Malmi, L., Jung, A. & Pollari-Malmi, K., 24 Jan 2025, ICBDE '24: Proceedings of the 2024 7th International Conference on Big Data and Education. New York: ACM, p. 57-64 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    10 Downloads (Pure)
  • Local problems in trees across a wide range of distributed models

    Dhar, A., Kujawa, E., Lievonen, H., Modanese, A., Müftüoglu, M., Studený, J. & Suomela, J., 8 Jan 2025, 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Bonomi, S., Galletta, L., Rivière, E. & Schiavoni, V. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 1-17 17 p. 27. (Leibniz International Proceedings in Informatics (LIPIcs); vol. 324).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    8 Downloads (Pure)
  • MassSpecGym : A benchmark for the discovery and identification of molecules

    Bushuiev, R., Bushuiev, A., de Jonge, N. F., Young, A., Kretschmer, F., Samusevich, R., Heirman, J., Wang, F., Zhang, L., Dührkop, K., Ludwig, M., Haupt, N. A., Kalia, A., Brungs, C., Schmid, R., Greiner, R., Wang, B., Wishart, D. S., Liu, L. P. & Rousu, J. & 10 others, Bittremieux, W., Rost, H., Mak, T. D., Hassoun, S., Huber, F., van der Hooft, J. J. J., Stravs, M. A., Böcker, S., Sivic, J. & Pluskal, T., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Curran Associates Inc., p. 1-18 18 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Opponent at KTH Stockholm

    Jung, A. (Examiner)

    10 Feb 2025

    Activity: Academic assessments Pre-examination of doctoral thesis or acting as opponent to doctoral students or membership of doctoral thesis committee or board

  • F-mode from 6h time series

    Korpi-Lagg, A. (Speaker), Korpi-Lagg, M. (Contributor), Weigt, D. (Contributor) & Truong, L. (Contributor)

    5 Nov 2024

    Activity: Talk or presentation typesConference presentation

  • HIIT Open

    Lievonen, H. (Organiser), Harviainen, J. (Organiser), Korhonen, T. (Organiser), Suomela, J. (Organiser), Akbari, A. (Organiser) & Laaksonen, A. (Organiser)

    16 Nov 2024

    Activity: Participating in or organising an event typesOrganization of an event for a non-academic audience (public outreach)