In this paper, an approach that uses dynamic voltage scaling (DVS) to reduce the configuration energy of run-time reconfigurable devices is proposed. The basic idea is to use configuration prefetching and parallelism to create excessive system idle time and apply DVS on the configuration process when such idle time can be utilized. A genetic algorithm is developed to solve the task scheduling and voltage assignment problem. With real applications, the results show that up to 19.3% of configuration energy can be reduced. When considering the reduction of the configuration energy, the results show that using more computation resources is more favorable when the configuration latency is relatively small, and using more configuration controller...
This paper concerns with the issue of minimizing of ever increasing energy consumption in computer s...
While Dynamic Voltage Scaling (DVS) is an efficient tech-nique in reducing the dynamic energy consum...
In this paper, we present an efficient two-step iterative synthesis approach for distributed embedde...
In this paper, an approach that uses dynamic voltage scaling (DVS) to reduce the configuration energ...
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 ...
With power-related concerns becoming dominant aspects of hardware and software design, significant r...
Dynamic voltage scaling (DVS) is a powerful technique to reduce power dissipation in embedded system...
Abstract Dynamic Voltage Scaling (DVS) is an effective technique for reducing energy consumption in...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
Abstract. When peak performance is unnecessary, Dynamic Voltage Scaling (DVS) can be used to reduce ...
Dynamically reconfigurable hardware (DRHW) not only has high silicon reusability, but it can also de...
Dynamic voltage scaling (DVS) has been adopted in many com-puting systems to reduce the energy consu...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
Abstract- Energy consumption of electronic devices has become a serious concern in recent years. Ene...
This paper concerns with the issue of minimizing of ever increasing energy consumption in computer s...
While Dynamic Voltage Scaling (DVS) is an efficient tech-nique in reducing the dynamic energy consum...
In this paper, we present an efficient two-step iterative synthesis approach for distributed embedde...
In this paper, an approach that uses dynamic voltage scaling (DVS) to reduce the configuration energ...
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 ...
With power-related concerns becoming dominant aspects of hardware and software design, significant r...
Dynamic voltage scaling (DVS) is a powerful technique to reduce power dissipation in embedded system...
Abstract Dynamic Voltage Scaling (DVS) is an effective technique for reducing energy consumption in...
Abstract. Many of today’s embedded systems, such as wireless and portable devices rely heavily on th...
Abstract. When peak performance is unnecessary, Dynamic Voltage Scaling (DVS) can be used to reduce ...
Dynamically reconfigurable hardware (DRHW) not only has high silicon reusability, but it can also de...
Dynamic voltage scaling (DVS) has been adopted in many com-puting systems to reduce the energy consu...
In recent years, there has been a rapid and wide spread of non-traditional computing platforms, espe...
Abstract- Energy consumption of electronic devices has become a serious concern in recent years. Ene...
This paper concerns with the issue of minimizing of ever increasing energy consumption in computer s...
While Dynamic Voltage Scaling (DVS) is an efficient tech-nique in reducing the dynamic energy consum...
In this paper, we present an efficient two-step iterative synthesis approach for distributed embedde...