Abstract:Power-aware hardware/software codesign defines a design methodology for the development of energy efficient embedded systems. With the appearance of energy-harvesting devices or RF-powered smart cards in recent years, the focus of the design process has been shifting from purely energy-oriented to power-constraints-oriented optimization strategies.In this paper we present an overview of various codesign flows and we motivate the importance of power awareness in today's design processes. Moreover, the industria… Show more
“…Dynamic Power Management [15] tries to assign optimal power saving states. Other methods reduces power consumption by efficiently using voltage scale processors [16]. All above methods are based on power-aware scheduling called YDS.…”
Section: B Functional Specification Of Distributed Systemsmentioning
confidence: 99%
“…Actions A 1 ÷A 6 , and A 11 ÷A 16 contain alternative sub-actions. Only the first action, for which the condition will be satisfied, will be activated.…”
Abstract-Recently, the advent of embedded multicore processors has created interesting technologies for power management. Systems consisting of low-power and high-efficient cores create new possibilities for the optimization of power consumption. However, new design methods, dedicated to these technologies should be developed. In this paper we present a method of static task scheduling for low-power real-time embedded systems. We assume that the system is specified as a distributed algorithm, then it is implemented using multi-core embedded processor with low-power processing capabilities. We propose a new scheduling method to create the optimal or suboptimal schedule. The goal of optimization is to minimize the power consumption while all time constraints will be satisfied or the quality of service will be as high as possible. We present experimental results, obtained for sample systems, showing advantages of our method.
“…Dynamic Power Management [15] tries to assign optimal power saving states. Other methods reduces power consumption by efficiently using voltage scale processors [16]. All above methods are based on power-aware scheduling called YDS.…”
Section: B Functional Specification Of Distributed Systemsmentioning
confidence: 99%
“…Actions A 1 ÷A 6 , and A 11 ÷A 16 contain alternative sub-actions. Only the first action, for which the condition will be satisfied, will be activated.…”
Abstract-Recently, the advent of embedded multicore processors has created interesting technologies for power management. Systems consisting of low-power and high-efficient cores create new possibilities for the optimization of power consumption. However, new design methods, dedicated to these technologies should be developed. In this paper we present a method of static task scheduling for low-power real-time embedded systems. We assume that the system is specified as a distributed algorithm, then it is implemented using multi-core embedded processor with low-power processing capabilities. We propose a new scheduling method to create the optimal or suboptimal schedule. The goal of optimization is to minimize the power consumption while all time constraints will be satisfied or the quality of service will be as high as possible. We present experimental results, obtained for sample systems, showing advantages of our method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.