@misc{Mann_Zoltán_Ádám_Evaluating,
 author={Mann, Zoltán Ádám and Orbán, András and Farkas, Viktor},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={In recent years, several heuristics have been proposed for the hardware/software partitioning problem. One of the most promising directions is the adaptation of the Kernighan-Lin algorithm. The Kernighan-Lin heuristic was originally developed for circuit partitioning, but it has been adapted to other domains as well.},
 abstract={Moreover, numerous improvements have been suggested so that now several variants of the original algorithm exist. The aim of this paper is to systematically evaluate the possibilities of applying the Kernighan-Lin heuristic to hardware/software partitioning. It is investigated in detail which versions of the heuristic work well in this context.},
 abstract={Since hardware/software partitioning also has several formulations, it is also discussed how the problem formulation affects the applicability of this heuristic. Furthermore, possibilities of efficient implementations of the algorithm - by using appropriate data structures - are also presented. These investigations are accompanied by numerous empirical test results.},
 type={artykuł},
 title={Evaluating the Kernighan-Lin heuristic for hardware/software partitioning},
 keywords={Kernighan/Lin heuristic, Fiduccia/Mattheyses heuristic, hardware/software partitioning, hardware/software codesign},
}