MARTE profile extension for modeling dynamic power management of embedded systems

Arpinen, Tero; Salminen, Erno; Hämäläinen, Timo D.; Hännikäinen, Marko

doi:10.1016/j.sysarc.2011.01.003

Cited by 29 publications

(13 citation statements)

References 11 publications

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“…SysML and MARTE profiles provide annotations to describe some aspects related to power consumption in embedded systems. To support the modeling of dynamic power management, authors in [8] propose a MARTE extension that relies on UML finite state machines. Another MARTE-based power consumption profile is described in [9].…”

Section: A Languages For Power Specificationmentioning

confidence: 99%

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On Exploiting Energy-Aware Scheduling Algorithms for MDE-Based Design Space Exploration of MP2SoC

Ammar

Baklouti

Pelcat

et al. 2016

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

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Abstract-Massively Parallel Multi-Processors System-onChip (MP2SoC) architectures have been widely deployed to run challenging high-performance computations. However, the ever greater demand for energy efficiency fosters energy budgeting in MP2SoC systems. Nowadays, having the appropriate Electronic Design Automation (EDA) tools for power estimation is mandatory. The major challenge for the design of such tools is to reach a better tradeoff between accuracy and time-to-market. This paper presents a Model Driven Engineering (MDE)-based energy-aware Design Space Exploration (DSE) approach allowing the designer to take the power consumption criterion into account early in the design flow. The originality of this approach is that it integrates the Energy-Aware Duplication (EAD) algorithm that strives to balance schedule lengths and energy savings by considering the most important sources of energy consumption in MP2SoC: the massive number of processing elements (PE) and the high-speed Network-on-Chip (NoC). To demonstrate the effectiveness of the proposed approach, we conducted experiments using the H.263 encoder application. The obtained results demonstrated that EAD can effectively save energy in MP2SoC systems. They also showed that our MDE approach is capable of accelerating the DSE process to make early energy-efficient design decisions.

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Section: A Languages For Power Specificationmentioning

confidence: 99%

“…Equation (6), (7), (8), and (9) give the detailed energy estimation model integrated in the proposed framework. In this study, we chose to use the H.263 video codec, a mature and popular coding standard [32].…”

Section: Energy-aware Scheduling Kernelmentioning

confidence: 99%

On Exploiting Energy-Aware Scheduling Algorithms for MDE-Based Design Space Exploration of MP2SoC

Ammar

Baklouti

Pelcat

et al. 2016

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

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“…One application of the MARTE profile is shown in Figure 2. MARTE is widespread in the field of developing of embedded systems (e.g., Argyris et al (2010); Arpinen et al (2011);Faugere et al (2007)). …”

Section: The Scheduling Analysis Viewmentioning

confidence: 99%

A Methodology for Scheduling Analysis Based on UML Development Models

Hagner¹,

Goltz²

2012

Embedded Systems - Theory and Design Methodology

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“…The power consumption can be described in even greater detail than presented in this paper by using a MARTE extension termed Dynamic Power Management (DPM) profile, which was developed at Tampere University of Technology [10]. By means of this profile, power aspects of embedded systems can be described.…”

Section: Introductionmentioning

confidence: 99%

Formal description of an approach for power consumption estimation of embedded systems

Shorin

Zimmermann

2014

2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

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This paper presents a formal description of an approach for model-based engineering of energy-efficient automation systems. Energy consumption is an important decision criterion, which has to be included in the search for good architectural and design alternatives already on the early system design stages. In the method, we describe an embedded system with an operational model for the processor hardware and an application model for the software. UML extended with MARTE profile elements is used for this part. Both models are transformed into a stochastic Petri net using transformation rules. The procedure steps are described with formal mathematical language and graphical illustrations.

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MARTE profile extension for modeling dynamic power management of embedded systems

Cited by 29 publications

References 11 publications

On Exploiting Energy-Aware Scheduling Algorithms for MDE-Based Design Space Exploration of MP2SoC

On Exploiting Energy-Aware Scheduling Algorithms for MDE-Based Design Space Exploration of MP2SoC

A Methodology for Scheduling Analysis Based on UML Development Models

Formal description of an approach for power consumption estimation of embedded systems

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