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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.

You are here: Home Projects filters Projects with participation of Daniel Harezlak

Projects with participation of Daniel Harezlak

Collage (2011)

collageThe 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. More ...

PLGrid Plus (2011-2014)


PLGrid Plus project served 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. Preparation of specific computing environments – so called domain grids – i.e., solutions, services and extended infrastructure (including software), tailored to the needs of different groups of scientists,was the most important task implemented within this 3-year project. The new services, developed within PLGrid Plus, provided a significant extension of the Polish computing infrastructure, which had been built since 2008 within the PL-Grid project. More ...

MAPPER (2010-2013)

MapperThe MAPPER project responded 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. Mapper used and enhanced existing solutions to support the multiscale simulation community, building simulation systems such as GridSpace. More ...

PL-Grid (2009-2012)

pl-gridThe 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. This infrastructure is compatible with existing worldwide Grid frameworks. GridSpace2 is positioned as the basis for an advanced virtual laboratory environment for in-silico processing by Polish scientists, state authorities and crisis management teams. More ...

GREDIA (2006-2009)

grediaThe 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 is 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. Moreover, GridSpace is capable of interfacing end users and present them with custom user interfaces, adapted to the needs of individual application domains. More ...

ViroLab (2006-2009)

virolabThe 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 is 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. More...

K-Wf Grid (2004-2007)

kwfgridThe Knowledge-based Workflow System for Grid Applications (K-Wf Grid) addressed the need for a better infrastructure for the future Grid environment. The Grid as a vast space of partially-cooperating, partially-competing Grid services is a very dynamic and complex environment. In order to address the complexity in using and controlling the next generation Grid, the consortium adopted the approaches envisioned by semantic Web and Grid communities in a novel, generic infrastructure. The K-Wf Grid system assists its users in composing powerful Grid workflows by means of a rule-based expert system. More ...

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