Evaluating the Kernighan-Lin heuristic for hardware/software partitioning

• Autorzy: Zoltán Ádám Mann , András Orbán , Viktor Farkas
• Języki publikacji: EN

Abstrakty

EN

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. 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. 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.

Słowa kluczowe

EN

Fiduccia/Mattheyses heuristic; hardware/software codesign; hardware/software partitioning; Kernighan/Lin heuristic

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2007
• Tom: 17
• Numer: 2
• Strony: 249-267

Daty

wydano

2007

otrzymano

2006-10-30

(nieznana)

2006-12-15

poprawiono

2007-03-12

Twórcy

autor

Zoltán Ádám Mann

• Budapest University of Technology and Economics, epartment of Control Engineering and Information Technology, H–1117 Budapest, Magyar tudósok körútja 2, Hungary

autor

András Orbán

• Budapest University of Technology and Economics, epartment of Control Engineering and Information Technology, H–1117 Budapest, Magyar tudósok körútja 2, Hungary

autor

Viktor Farkas

• Budapest University of Technology and Economics, epartment of Control Engineering and Information Technology, H–1117 Budapest, Magyar tudósok körútja 2, Hungary

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