Title
Constrained and Unconstrained Hardware-Software Partitioning using Particle Swarm Optimization Technique
Abstract
In this paper we investigate the application of the Particle Swarm Optimization (PSO) technique for solving the Hardware/Software partitioning problem. The PSO is attractive for the Hardware/Software partitioning problem as it offers reasonable coverage of the design space together with O(n) main loop's execution time, where n is the number of proposed solutions that will evolve to provide the final solution. We carried out several tests on a hypothetical, relatively-large Hardware/Software partitioning problem using the PSO algorithm as well as the Genetic Algorithm (GA), which is another evolutionary technique. We found that PSO outperforrns GA in the cost function and the execution time. For the case of unconstrained design problem, we tested several hybrid combinations of PSO and GA algorithms; including PSO then GA, GA then PSO, GA followed by GA, and finally PSO followed by PSO. The PSO algorithm followed by another PSO round gave the best result as it allows another round of domain exploration. The second PSO round assign new randomized velocities to the particles, while keeping best particle positions obtained in the first round. We propose to name this successive PSO algorithm as the Re-excited PSO algorithm. The constrained formulations of the problem are investigated for different tuning or limiting design parameters constraints.
Year
DOI
Venue
2007
10.1007/978-0-387-72258-0_18
International Federation for Information Processing
Keywords
Field
DocType
embedded systems,Hardware/Software co-design,Hardware/Software partitioning,particle swarm optimization,genetic algorithm,evolutionary algorithms,re-excited PSO
Design space,Particle swarm optimization,Mathematical optimization,Computer science,Multi-swarm optimization,Software,Event loop,Execution time,Hardware software,Genetic algorithm
Conference
Volume
ISSN
Citations 
231
1571-5736
5
PageRank 
References 
Authors
0.45
14
3
Name
Order
Citations
PageRank
M. B. AbdelHalim1457.21
A. E. Salama213031.67
S. E.-D. Habib3333.43