This paper describes a new Dynamic Voltage Scaling (DVS) technique for embedded systems expressed as Conditional Task Graphs (CTGs). The idea is to identify and exploit the available worst case slack time, taking into account the conditional behaviour of CTGs. Also we examine the effect of combining a genetic algorithm based mapping with the DVS technique for CTGs and show that further energy reduction can be obtained. The techniques have been tested on a number of CTGs including a real-life example. The results show that the DVS technique can be applied to CTGs with energy saving up to 24%. Furthermore it is shown that savings of up to 51% are achieved by considering DVS during the mapping
The trade-off between system performance and energy efficiency (service time) is critical for batter...
[[abstract]]To minimize energy consumption by voltage scaling in design of heterogeneous real-time e...
Abstract The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art ener...
A dynamic voltage scaling (DVS) technique for embedded systems expressed as conditional task graphs ...
In this paper, we present an efficient two-step iterative synthesis approach for distributed embedde...
The first part of this thesis addresses dynamic power minimisation for data and control dominated em...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
Abstract Dynamic Voltage Scaling (DVS) is an effective technique for reducing energy consumption in...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
Dynamic voltage scaling (DVS) is a powerful technique to reduce power dissipation in embedded system...
This paper presents an efficient algorithm for voltage scaling of an distributed embedded system tak...
Dynamic voltage scaling (DVS) algorithms save energy by scaling down the processor frequency when th...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
Dynamic voltage scaling (DVS) algorithms save energy by scaling down the processor frequency when th...
The trade-off between system performance and energy efficiency (service time) is critical for batter...
[[abstract]]To minimize energy consumption by voltage scaling in design of heterogeneous real-time e...
Abstract The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art ener...
A dynamic voltage scaling (DVS) technique for embedded systems expressed as conditional task graphs ...
In this paper, we present an efficient two-step iterative synthesis approach for distributed embedde...
The first part of this thesis addresses dynamic power minimisation for data and control dominated em...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
Abstract Dynamic Voltage Scaling (DVS) is an effective technique for reducing energy consumption in...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor ...
Dynamic voltage scaling (DVS) is a powerful technique to reduce power dissipation in embedded system...
This paper presents an efficient algorithm for voltage scaling of an distributed embedded system tak...
Dynamic voltage scaling (DVS) algorithms save energy by scaling down the processor frequency when th...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
Dynamic voltage scaling (DVS) algorithms save energy by scaling down the processor frequency when th...
The trade-off between system performance and energy efficiency (service time) is critical for batter...
[[abstract]]To minimize energy consumption by voltage scaling in design of heterogeneous real-time e...
Abstract The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art ener...