RALF3 - Software for Embedded High Performance Architectures

Status:

finished

Start date:

2012-01-01

End date:

2016-12-31

The overall goal of Ralf 3 is to formulate and implement an appropriate component model for computation-intensive embedded real-time systems with very high data rates, and to provide a support for distribution of software to the heterogeneous platform to achieve optimal results in performance, system response, and other important requirements for embedded systems. In parallel with this work a number of systems will be used as test benches and demonstrators. In particular we will use an underwater robot with stereo cameras to evaluate our research results, through architecting its embedded systems.

[Show all publications]

Parallel Execution Optimization of GPU-aware Components in Embedded Systems (Aug 2017)
Gabriel Campeanu
The 29th International Conference on Software Engineering & Knowledge Engineering (SEKE 2017)

Editorial to theme issue on model-driven engineering of component-based software systems (Mar 2017)
Federico Ciccozzi, Jan Carlson, Patrizio Pelliccione , Massimo Tivoli
International Journal on Software and Systems Modeling (SoSyM'17)

A Filtering Heuristic for the Computation of Minimum-Volume Enclosing Ellipsoids (Dec 2016)
Linus Källberg, Thomas Larsson
Combinatorial Optimization and Applications: 10th International Conference, COCOA 2016, Hong Kong, China, December 16-18, 2016, Proceedings (COCOA 2016)

GPU-aware Component-based Development for Embedded Systems (Nov 2016)
Gabriel Campeanu

Quality versus efficiency in document scoring with learning-to-rank models (Nov 2016)
Gabriele Capannini, Claudio Lucchese , Franco Maria Nardini , Salvatore Orlando , Raffaele Perego , Nicola Tonellotto
Information Processing & Management (IPM16)

Architecture optimization: Speed or accuracy? Both! (Oct 2016)
Federico Ciccozzi, Juraj Feljan, Jan Carlson, Ivica Crnkovic
Software Quality Journal (Springer) (SQJ)

Ivica Crnkovic, Professor

Email: ivica.crnkovic@mdh.se
Room: U1-070
Phone: +46-21-103183