|
Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11400
|
| Titre: | Application mapping onto network on chip using particul swarm optimisation with genetic algorithm “GAPSO” |
| Auteur(s): | Bougherara, Maamar
Amara, Rafik
Kemcha, Rebiha |
| Mots-clés: | Costs
System performance
Design methodology
Collaboration
Network-on-chip
Computer architecture
Particle swarm optimization |
| Date de publication: | 2022 |
| Editeur: | IEEE |
| Collection/Numéro: | 2022 International Conference on Computer and Applications (ICCA); |
| Résumé: | Network-on-chip is a new concept of interconnection in single-chip systems. This architecture is associated with the traditional methods of design of the interconnections which aims to carry out several functionalities and to stage the limits of that of the traditional methods. However, like any new technology, it requires research efforts, in particular to speed up and simplify the design phases. The mapping phase is a main step in the network-on-chip design process, it has a direct impact on system performance. This phase makes it possible to assign each task of an application to a physical resource while respecting the imposed constraints. This work aims to evaluate the performance for single-objective placement based on particle swarm optimization PSO and hybridization of this algorithm with the genetic algorithm |
| URI/URL: | DOI: 10.1109/ICCA56443.2022.10039542
https://ieeexplore.ieee.org/document/10039542
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11400 |
| Collection(s) : | Communications Internationales
|
Fichier(s) constituant ce document :
Il n'y a pas de fichiers associés à ce document.
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|
