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
2015
CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, 27 (16)., pp. 4398-4411. ISSN 1532-0626
Remote storage management in science gateways via data bridging
In: 13th International Conference on High Performance Computing and Simulation, HPCS 2015 Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015 IEEE, Amsterdam, pp. 9-18.
The user support programme and the training infrastructure of the EGI Federated Cloud