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
2010
In: Proceedings of the IADIS international conference on collaborative technologies. Freiburg, 2010..
Efficient partitioning of graphs in collaborative workflow editor systems
In: Proceedings of the 10th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2015) Óbudai Egyetem, Budapest, pp. 227-231.
Supporting Smart System applications in Scientific Gateway environment
In: VECPAR 2006. High performance computing for computational science. 7th international conference. Rio de Janeiro, 2006. (Lecture notes in computer science 4395.).
Extending the services and sites of production grids by the support of advanced portals
In: 14th International Conference on High Performance Computing and Simulation, HPCS 2016 2016 International Conference on High Performance Computing and Simulation, HPCS 2016 IEEE, New York, pp. 591-596.
The ENTICE approach to decompose monolithic services into microservices