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
2021
ELECTRONICS, 10 (24). ISSN 2079-9292
Fundamentals of a Novel Debugging Mechanism for Orchestrated Cloud Infrastructures with Macrosteps and Active Control
In: 15th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2021 Obuda University; IEEE, Budapest, pp. 000425-000430.
Evaluation of GPU Virtualisation Approaches for Machine Learning Enhanced Debugging of Cloud Orchestration
In: Stimulation of European industry through high performance computing. Proceedings of the 3rd SEIHPC workshop. Copernicus programme. No. COP-94-00774. Madrid, 1998..
Enhancing GRADE towards a professional parallel programming environment
In: High-performance computing and networking. International conference and exhibition. Proceedings. Amsterdam, 1998. (Lecture notes in computer science, 1401.).
The GRED graphical editor for the GRADE parallel program development environment
In: Proceedings of DAPSYS98. Workshop on distributed and parallel systems. Budapest, 1998. (Institut für angewandte Informatik und Informationssysteme.Technischer Bericht TR-98102.).
Extending LOGFLOW with parallel relational database operations