An emulation-based real-time power profiling unit for embedded software

Genser, Andreas; Bachmann, Christian; Haid, Josef; Steger, Christian; Weiß, Reinhold

doi:10.1109/icsamos.2009.5289243

Cited by 22 publications

(18 citation statements)

References 14 publications

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“…The power emulation method 2 exploits these platforms to derive run-time power consumption information already at early design stages, providing valuable support in an effective power aware codesign approach (Genser et al, 2009).…”

Section: Related Workmentioning

confidence: 99%

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Power-aware hardware/software codesign of mobile devices

Steger

Bachmann

Genser

et al. 2010

Elektrotech. Inftech.

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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 industrial relevance of hardware/software codesign is shown in a case study of an RF-powered smart card system. Keywords: power awareness; hardware/software codesign; smart cards; power emulation Power-aware Hardware/Software Codesign fü r mobile Systeme.Power-aware Hardware/Software Codesign definiert eine Design-Methode fü r die Entwicklung energieeffizienter, eingebetteter Systeme. Durch das verstä rkte Aufkommen von Gerä ten, die ihre Energie aus der Umgebung beziehen ("Energy Harvesting") oder kontaktlos ü ber ein RF-Feld versorgt werden, hat sich auch der Fokus des Designprozesses verlagert. Statt sich ausschließlich auf die Energieoptimierung zu konzentrieren, mü ssen nun auch immer stä rker Einschrä nkungen bezü glich der Leistungsaufnahme berü cksichtigt werden.In diesem Artikel werden verschiedene Codesign-Flows vorgestellt und deren Bedeutung in der Entwicklung von leistungs-und energieeffizienten Systemen unterstrichen. Darü ber hinaus wird die industrielle Relevanz des Hardware/Software Codesigns anhand eines konkreten Anwendungsfalls in der Anwendungsdomä ne von kontaktlosen Chipkarten gezeigt.

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Section: Related Workmentioning

confidence: 99%

“…Comparison of a traditional and a power emulation supported development process(Genser et al, 2009) Fig. 4.…”

mentioning

confidence: 99%

Power-aware hardware/software codesign of mobile devices

Steger

Bachmann

Genser

et al. 2010

Elektrotech. Inftech.

View full text Add to dashboard Cite

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“…Energy profiling by means of estimation techniques can be divided into (i) simulation-based and (ii) hardwareaccelerated approaches (Genser et al, 2009). Simulationbased power estimation executes programs on simulators to acquire circuit activity information.…”

Section: Estimation-based Methodsmentioning

confidence: 99%

“…Application that uses camera usually related to image processing filters such as Gaussian, median, mean, Laplacian, Sobel and others (Genser et al, 2009). Image processing applications usually drain more power than other application because it process pixel by pixel of the image with heavy mathematical computation.…”

Section: Introductionmentioning

confidence: 99%

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Measuring Power Consumption for Image Processing on Android Smartphone

Saipullah

Anuar

Ismail

et al. 2012

American Journal of Applied Sciences

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The energy consumption of smartphones can be undertaken in multiple levels of hardware and software. Generally, there are two approaches in measuring power consumption of a smartphone application which are the measurement-based and estimation-based methods. The goal of this study is to compare the two power consumption measuring approaches in quantifying the power consumed by image processing applications in Android smartphone. For measurement-based approach, a simple wattmeter is designed whereas for the estimation-based approach, an Android application called the PowerTutor will be utilized. The wattmeter and PowerTutor will measure the power consumption of eight image processing methods running on modified Android library with self-implemented algorithm called the CamTest. According to t-test analysis that has been conducted, the p values of all of the image processing methods show that there are no significant differences between the wattmeter and the PowerTutor application (p>0.01). Even though measurement-based method is more accurate than estimation-based method in term of measuring power consumption, PowerTutor application proved it provides accurate, real-time power consumption estimation for Android platform smartphones. Application developers still can use PowerTutor as an option to determine the impact of software design on power consumption.

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