International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 119 - Number 4 |
Year of Publication: 2015 |
Authors: Mehdi Jemai, Sonia Dimassi, Bouraoui Ouni, Abdellatif Mtibaa |
10.5120/21054-3701 |
Mehdi Jemai, Sonia Dimassi, Bouraoui Ouni, Abdellatif Mtibaa . Combined Partitioning Hardware-Software Algorithms. International Journal of Computer Applications. 119, 4 ( June 2015), 11-15. DOI=10.5120/21054-3701
In recent years, meta-heuristics have become increasingly interesting in solving combinatorial problems including hardware-software partitioning. In this paper, we present a comparative study between some algorithms which involve meta-heuristics based on Tabu search, genetic algorithm and Binary Search Trees to address the problem of hardware-software partitioning. In fact, meta-heuristics can produce acceptable solutions within a reasonable time, but they do not guarantee an optimal solution. We have proposed these algorithms to find the efficient hardware-software partition that minimizes the logic area of System on a Programmable Chip while respecting a time constraint. This paper presents an analysis of these meta-heuristics by identifying the fundamental ideas guiding the choice of a meta-heuristic in practice.