International audienceReducing energy consumption in embedded systems is a major crucial issue. In this paper, we propose new sequential and distributed algorithms based on Simulated Annealing (SA) in order to reduce energy consumption in embedded systems. Our algorithms outperform the Tabu Search (TS) approach. In fact, our algorithms manage to consume nearly from 76% up to 98% less memory energy than TS
International audienceEmbedded systems are everywhere in contemporary life and are supposed to make ...
12 pagesInternational audienceThe paper presents a novel hybrid evolutionary algorithm that combines...
This paper presents an approach to the synthesis of low-power fault-tolerant hard real-time applicat...
International audienceReducing memory energy consumption in embedded systems is crucial. In this pap...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
The energy consumption in distributed systems depends on several inter-related factors, including ta...
Abstract — Processor is an important computing element in portable battery operated real time embedd...
Energy saving and optimization play an increasingly important role in industrial electronic systems....
The first part of this thesis addresses dynamic power minimisation for data and control dominated em...
Consumption of power and conservation of energy have become two of the biggest design challenges in ...
This paper explores the problem of energy optimization in embedded platforms. Specifically, it studi...
Modern embedded systems are capable of performing a wide range of tasks and their popularity is incr...
Real-time embedded systems often have multiple resource constraints such as energy and code size con...
Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducin...
Energy consumption is a major concern for designers of embedded devices. Especially for battery oper...
International audienceEmbedded systems are everywhere in contemporary life and are supposed to make ...
12 pagesInternational audienceThe paper presents a novel hybrid evolutionary algorithm that combines...
This paper presents an approach to the synthesis of low-power fault-tolerant hard real-time applicat...
International audienceReducing memory energy consumption in embedded systems is crucial. In this pap...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
The energy consumption in distributed systems depends on several inter-related factors, including ta...
Abstract — Processor is an important computing element in portable battery operated real time embedd...
Energy saving and optimization play an increasingly important role in industrial electronic systems....
The first part of this thesis addresses dynamic power minimisation for data and control dominated em...
Consumption of power and conservation of energy have become two of the biggest design challenges in ...
This paper explores the problem of energy optimization in embedded platforms. Specifically, it studi...
Modern embedded systems are capable of performing a wide range of tasks and their popularity is incr...
Real-time embedded systems often have multiple resource constraints such as energy and code size con...
Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducin...
Energy consumption is a major concern for designers of embedded devices. Especially for battery oper...
International audienceEmbedded systems are everywhere in contemporary life and are supposed to make ...
12 pagesInternational audienceThe paper presents a novel hybrid evolutionary algorithm that combines...
This paper presents an approach to the synthesis of low-power fault-tolerant hard real-time applicat...