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
2022
In: 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C) IEEE, Piscataway (NJ), pp. 230-232.
Abstractions of Abstractions: Metadata to Infrastructure-as-Code
In: Proceedings of the 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2013, 2013-02-27 - 2013-03-01, Belfast, Írország.
Block level storage support for open source IaaS clouds