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
2016
In: Proceedings of Cracow Grid Workshop'16, CGW 2016 ACC CYFRONET AGH, Krakkó, pp. 47-48.
Automated and Portable Hadoop Cluster Orchestration on Clouds with Occopus for Big Data Applications
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