EconPapers    
Economics at your fingertips  
 

Shortest Path Method for Hardware/Software Partitioning Problems

Adil Iguider, Oussama Elissati, Abdeslam En-Nouaary and Mouhcine Chami
Additional contact information
Adil Iguider: Institut National des Postes et Télécommunications, STRS Lab, Rabat, Morocco
Oussama Elissati: Institut National des Postes et Télécommunications, STRS Lab, Rabat, Morocco
Abdeslam En-Nouaary: Institut National des Postes et Télécommunications, STRS Lab, Rabat, Morocco
Mouhcine Chami: Institut National des Postes et Télécommunications, STRS Lab, Rabat, Morocco

International Journal of Information Systems and Social Change (IJISSC), 2021, vol. 12, issue 3, 40-57

Abstract: Smart systems are becoming more present in every aspect of our daily lives. The main component of such systems is an embedded system; this latter assures the collection, the treatment, and the transmission of the accurate information in the right time and for the right component. Modern embedded systems are facing several challenges; the objective is to design a system with high performance and to decrease the cost and the development time. Consequently, some robust methodologies like the Codesign were developed to fulfill those requirements. The most important step of the Codesign is the partitioning of the systems' functionalities between a hardware set and a software set. This article deals with this problem and uses a heuristic approach based on shortest path optimizations to solve the problem. The aim is to minimize the total hardware area and to respect a constraint on the overall execution time of the system. Experiments results demonstrate that the proposed method is very fast and gives better results compared to the genetic algorithm.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJISSC.2021070104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jissc0:v:12:y:2021:i:3:p:40-57

Access Statistics for this article

International Journal of Information Systems and Social Change (IJISSC) is currently edited by John Wang

More articles in International Journal of Information Systems and Social Change (IJISSC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jissc0:v:12:y:2021:i:3:p:40-57