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
2017
REPÜLÉSTUDOMÁNYI KÖZLEMÉNYEK (1997-TŐL), 29 (2)., pp. 257-272. ISSN 1417-0604
WRF Benchmark Measurements and Cost Comparison. Virtualized Environment Versus Physical Hardware
In: Advances in Parallel, Distributed, Grid and Cloud Computing for Engineering Computational Science, Engineering & Technology Series (40) Saxe-Coburg Publications, Stirlingshire, pp. 137-156. ISSN 1759-3158