Power and Execution Time Optimization through Hardware Software Partitioning Algorithm for Core Based Embedded System
Joint Authors
Ouni, Bouraoui
Ben Haj Hassine, Siwar
Jemai, Mehdi
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Shortening the marketing cycle of the product and accelerating its development efficiency have become a vital concern in the field of embedded system design.
Therefore, hardware/software partitioning has become one of the mainstream technologies of embedded system development since it affects the overall system performance.
Given today’s largest requirement for great efficiency necessarily accompanied by high speed, our new algorithm presents the best version that can meet such unpreceded levels.
In fact, we describe in this paper an algorithm that is based on HW/SW partitioning which aims to find the best tradeoff between power and latency of a system taking into consideration the dark silicon problem.
Moreover, it has been tested and has shown its efficiency compared to other existing heuristic well-known algorithms which are Simulated Annealing, Tabu search, and Genetic algorithms.
American Psychological Association (APA)
Ben Haj Hassine, Siwar& Jemai, Mehdi& Ouni, Bouraoui. 2017. Power and Execution Time Optimization through Hardware Software Partitioning Algorithm for Core Based Embedded System. Journal of Optimization،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1185965
Modern Language Association (MLA)
Ben Haj Hassine, Siwar…[et al.]. Power and Execution Time Optimization through Hardware Software Partitioning Algorithm for Core Based Embedded System. Journal of Optimization No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1185965
American Medical Association (AMA)
Ben Haj Hassine, Siwar& Jemai, Mehdi& Ouni, Bouraoui. Power and Execution Time Optimization through Hardware Software Partitioning Algorithm for Core Based Embedded System. Journal of Optimization. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1185965
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185965