The research laboratory's mission is conducting research on parallel and distributed systems in order to support the highly parallel and/or distributed execution of grand challenge applications processing very large data sets. We also aim to elaborate new methods and tools for closing the gap between the abstraction level of current parallel and distributed platforms (like supercomputers, clusters, clouds and quantum computers) and the grand challenge applications.
Publication date
2011
In: Data driven e-science. Use cases and successful applications of distributed computing infrastructures (ISGC 2010). Taipei, 2010., Wien,.
In: Making grids work. Proceedings of the CoreGrid workshop on programming models, grid and P2P system architecture, grid systems, tools and environments. Heraklion, 2007..
Utilizing heterogeneous data sources in computational grid workflows