DIstributed Computing Environments Team
of the Academic Computer Centre Cyfronet AGH
Tell Me More


We are a group of computer scientists and IT experts from ACC Cyfronet AGH and Department of Computer Science AGH. We are a curiosity- and research-driven team, specializing in large-scale distributed computing, HPC, Web and Cloud technologies. We develop new methods, tools and environments and we apply these solutions in e-Science, healthcare and industrial domains.

Distributed computing

We research methods, techniques and environments for programming and execution of complex scientific applications on cluster, Grid and Cloud infrastructures.

Cloud computing

We create solutions which integrate cloud sites operated by different providers. Our Atmosphere distributed cloud platform has built-in autoscaling capability and exposes a truly hybrid computational cloud environment.


We help researchers in the fields of biology, energy, metalurgy, etc. to execute their experiments using distributed resources. We also create collaborative Web-based environments for e-science.


Learn more about the tools we develop.

MEE portal

Environment for organizing in-silico medicine research


Searchable catalogue of biomedical sample collections


Scientific application development made easier


DNA Microarray integromics analysis platform


Hybrid Cloud management with autoscaling capability


Simplify your interaction with remote servers


Lightweight metadata and data management


Conducting virtual experiments on Grid and HPC infrastructures


Web file management for HPC cluster users based on GridFTP


Learn more about the projects we have been involved in.

  • Be Part
    Of Our

  • 2018-2022


    PRIMAGE aims at creation of a Clinical Decision Support System (CDSS) for the treatment of cancer (nauroblastoma, glioma) in children. The system will use the HPC infrastructure and patients' data in the multi-scale computational models of cancer, designed to define disease biomarkers. The created CDSS system will help oncologists both in diagnosis and in predicting of disease progression and treatment effectiveness.

  • 2017-2020


    The main outputs of PROCESS are five very large data service prototypes, implemented using a mature, modular, generalizable open source solution for exascale data. The services will be validated in real-world settings, both in scientific research and in industry pilot deployments.

  • 2017-2018


    CECM, an H2020 Teaming for Excellence Phase 1 project, developed a Business Case to establish in Poland Europe's first Centre for simulation-driven healthcare Decision Support. The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of regional medtech industry, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.

  • 2017-2020


    In Gliomed we are undertaking a series of bioinformatics and biostatistics analyses on tumor data. Information acquired from MR imaging and NGS sequencing of glioma cases will be collaboratively investigated with other project partners. The result could be a new liquid biopsy glioma test.

  • 2016-2019


    The DICE team will be creating an easy-to-use environment for the development, deployment and execution of large scale simulations, required for learning process development and sensitivity analyses (a "Model Execution Environment").

  • 2014-2015

    PLGrid Core

    The main objective of the PLGrid Core project is further, significant extension of the PL-Grid Infrastructure computing resources, especially in ACC Cyfronet AGH, as a specialized competence centre in the field of distributed computing infrastructures, with particular emphasis on grid technologies, cloud computing and platforms supporting computations on big data.

  • 2013-2016


    The ISMOP project intends to carry out research into complex systems for embankment monitoring and threat forecasting, which includes the following aspects: massive and continuous collection of measurement data, optimized data transmission, interpretation and analysis with the use of numerical simulations, providing result visualization for the appropriate authorities.

  • 2012-2016


    PaaSage delivers an open and integrated platform to support model based lifecycle management of Cloud applications. The platform and the accompanying methodology allow model-based development, configuration, optimisation and deployment of existing and new applications, independently of the existing Cloud infrastructures.

  • 2011


    The Collage Authoring Environment is a framework for collaborative preparation and publication of so-called executable papers. The environment enables researchers to seamlessly embed chunks of executable code (called snippets) into scientific publications, and to facilitate repeated execution of such snippets on underlying computing and data storage resources.

  • 2011-2015


    VPH-Share develops the organisational fabric and integrates optimized services to expose and share data and knowledge, jointly develop multiscale models for the composition of new VPH workflows, facilitate collaboration within the VPH community.

  • 2011-2014

    PLGrid Plus

    PLGrid Plus project serves Polish scientific communities enabling extensive cooperation among them, as well as international cooperation in the scope of research activities in the area of ​​e-Science.

  • 2010-2013


    The MAPPER project responed to the critical need by developing computational strategies, software and services for distributed multiscale simulations across disciplines, exploiting existing and evolving European e-Infrastructure. This project was driven by the computational needs of seven exemplary multiscale problems from a variety of disciplines including Systems Biology, Fusion, Physiology, Engineering and nano-Material Science.

  • 2010-2012


    The mission of the UrbanFlood project was to investigate the use of sensors within flood embankments to support an online early warning system, real time emergency management and routine asset management. The Common Information Space (CIS), created in the scope of this project, provides a means for integration, over the Internet, of Early Warning Systems, sensors and application programs for public information and decision support.

  • 2009-2012


    The goal of the PL-Grid project was to provide the Polish scientific community with an IT supercomputing platform and a set of advanced tools to enable e-science research in various fields.

  • 2006-2009


    The ViroLab Project developed a virtual laboratory for research in the area of infectious diseases. In particular, it targeted the drug resistance problem in HIV (Human Immunodefficiency Virus) anti-viral therapy, using genetic information and computer modeling. GridSpace technology was used here as the main building block of the virtual laboratory, providing the core runtime, services and tools for programmers, computational scientists and virologists, enabling them to address important issues in modern treatment of infectious diseases through collaborative in-silico research.

  • 2006-2009


    The GREDIA Project prepared a system for access to multimedia data on the Grid, in the context of business applications. GREDIA focused on media and banking sectors. Here, GridSpace was applied as a core of the Appea platform, which enables users to quickly develop and deploy application scenarios, making use of the available Grid services and data resources.

  • 2004-2008


    The European Research Network on Foundations, Software Infrastructures and Applications for large scale distributed, GRID and Peer-to-Peer Technologies.

  • 2004-2007

    K-Wf Grid

    The Knowledge-based Workflow System for Grid Applications (K-Wf Grid) addressed the need for a better infrastructure for the future Grid environment.

  • 2002-2005


    The CrossGrid project was oriented towards compute- and data-intensive applications that were characterized by the interaction with a person in a processing loop. Such applications required a response from the Grid to an action by a human agent in different time scales.

  • DICE

Our Team

Learn more about the members of our team.

Marian Bubak

Team leader

Bartosz Baliś


Tomasz Gubała

Researcher, programmer, entrepreneur

Marek Kasztelnik

Researcher, scientific developer

Maciej Malawski


Jan Meizner

System administrator

Piotr Nowakowski

Researcher, scientific developer

Maciej Pawlik

Researcher, scientific developer

Katarzyna Rycerz


Bartosz Wilk

Researcher, scientific developer

Daniel Harężlak

Researcher, scientific developer

Tomasz Bartyński

Researcher, scientific developer

Eryk Ciepiela

Researcher, scientific developer

Grzegorz Dyk

Researcher, scientific developer

Paweł Suder

System administrator, scientific developer

Contact Us

DICE team
ACC Cyfronet AGH
ul. Nawojki 11
30-950 Krakow, Poland
see in Google maps


Marian Bubak
bubak [at] agh.edu.pl