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DIstributed Computing Environments (DICE) Team
We are a group of computer scientists and IT experts from the Department of Computer Science AGH and ACC Cyfronet 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.


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The DIstributed Computing Environments Team

Our group conducts research and development projects which focus on utilisation of large data processing and high performance computing in computational science of all domains. With our ideas, technologies and tools we help other scientists to apply supercomputing and big data approaches to achieve new breakthroughs in science.

Our research interests include:

  • Methods, techniques and environments for programming and execution of complex scientific applications on cluster, Grid and Cloud infrastructures,
  • Collaborative Web-based environments for e-Science,
  • Knowledge-based approach to computation and data, including registries, application monitoring, provenence and semantic integration,
  • Services, components, workflows, composition and integration of heterogeneous service oriented and event-driven applications,
  • Support for multi-scale, multi-infrastructure and multi-programming-model applications.

See relevant presentations: 1 and 2; flyer 1, flyer 2

 

  • Bubak M., Czechowicz K., Gubała T., Hose D. R., Kasztelnik M., Malawski M., Meizner J., Nowakowski P. and Wood S.: The EurValve model execution environment. Interface Focus. 11 (2021)
  • Piotr Frąckiewicz, Katarzyna Rycerz, Marek Szopa: Quantum absentminded driver problem revisited. Quantum Information Processing; ISSN 1570-0755 — 2022 — vol. 21 iss. 1 art. no. 34, s. 1–21 (2022)
  • D. Tomasiewicz, M. Pawlik, M. Malawski, K. Rycerz: Foundations for workflow application scheduling on D-Wave system. Computational Science - ICCS 2020: 20th International Conference: Amsterdam, The Netherlands, June 3–5, 2020 (2020)
  • M. Bubak, T. Gubala, M. Kasztelnik, M. Malawski: Building Collaborative Applications for System-level Science. In: W. Gentzsch, L. Grandinetti, G. Joubert (eds.) Advances in Parallel Computing, Vol. 18, 2009, High Speed and Large Scale Scientific Computing, ISBN 978-1-60750-073-5, doi: 10.3233/978-1-60750-073-5-299 (2009)
  • M. Malawski, T. Bartynski, M. Bubak: Invocation of operations from script-based grid applications. (DOI) In: Future Generation Computer Systems, vol. 26, Issue 1, pp. 138-146 (January 2010)
  • E. Ciepiela, D. Harezlak, J. Kocot, T. Bartynski, M. Kasztelnik, P. Nowakowski, T. Gubała, M. Malawski, M. Bubak: Exploratory Programming in the Virtual Laboratory. In: Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 621-628 (October 2010), Award for the best paper!
  • J. Meizner, M. Malawski, M. Bubak: Flexible and Secure Access to Computing Clusters. In: Computer Science, 11, pp. 21-36 (2010)
  • M. Malawski, K. Figiela, J. Nabrzyski: Cost Minimization for Computational Applications on Hybrid Cloud Infrastructures. Future Generation Comp. Syst. 29(7): 1786-1794, preprint, DOI (2013)
  • B. Balis, M. Kasztelnik, M. Bubak, T. Bartynski, T. Gubala, P. Nowakowski, and J. Broekhuijsen: The UrbanFlood Common Information Space for Early Warning Systems. In: Procedia Computer Science 4, pp. 96-105. Proceedings of the International Conference on Computational Science ICCS 2011 (2011)
  • K. Rycerz, M. Bubak: Component Approach to Distributed Multiscale Simulations. In: Proc. SIMULTECH 2011, 1st International Conference on Simulation, Modeling Technologies and Applications, July 29-31, 2011, Noordwijkerhout, The Netherlands, pp. 122 - 127 (2011)
  • M. Malawski, T. Gubala, and M. Bubak: Component-based approach for programming and running scientific applications on grids and clouds (DOI). The International Journal of High Performance Computing Applications, vol. 26, no. 3, pp. 275-295, SAGE Publications Ltd (preprint) (2012)
  • M. Baranowski, A. Belloum, M. Bubak, M. Malawski: Constructing workflows from script applications. Scientific Programming 20 (2012/2013) 359–377, DOI 10.3233/SPR-120358, IOS Press (2013)
  • M. Bubak, M. Kasztelnik, M. Malawski, J. Meizner, P. Nowakowski, and S. Varma: Evaluation of Cloud Providers for VPH Applications (article, poster). CCGrid 2013, 13-16 May, 2013, Delft, the Netherlands (2013)
  • E. Ciepiela, D. Harężlak, M. Kasztelnik, J. Meizner, G. Dyk, P. Nowakowski, M. Bubak: The Collage Authoring Environment: from proof-of-concept prototype to pilot service. Procedia Computer Science, Volume 18, pp 769-778, June 2013 (2013)

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Current projects

eurohpc_pl_logo

EuroHPC PL (2021-2023) will build a specialized general-purpose infrastructure for large-scale computing, enabling the undertaking of research challenges in key areas from the point of view of Polish society, the scientific community and the economy. More...

sano

Sano (2019-2026) Sano Centre will be a major driver for European advancement in rapidly growing field of computational medicine, developing sophisticated engineering methods for the prevention, diagnosis and treatment of disease, and meeting the overarching worldwide need for radically streamlined healthcare systems. More...

primage

PRIMAGE (2018-2022) proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up. More...

process_logo_cut

PROCESS (2017-2020) will pave the way towards exascale data services that will accelerate innovation and maximise the benefits of these emerging data solutions. More...

gliomed_logo_cut

Gliomed (2017-2020) will design and validate a novel liquid-biopsy method of glioma type detection in patients. More...

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Software

Rimrock – simplifies the way how you can interact with the remote servers.

HyperFlow – a lightweight tool that enables orchestration of scientific applications into complex pipelines, or scientific workflows.

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DICE on social sites

youtube GitHub

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