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
In: Cloud Computing with e-Science Applications CRC Press - Taylor and Francis Group, Boca Raton FL, pp. 217-235.
AutoDock Gateway for Molecular Docking Simulations in Cloud 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