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
2014
In: Euro-Par 2013: Parallel Processing Workshops Lecture Notes in Computer Science (8374) Springer Verlag, Berlin; Heidelberg, pp. 385-394. ISSN 0302-9743
Efficient Random Network Coding for Distributed Storage Systems