A PMC-driven methodology for energy estimation in RVC-CAL video codec specifications

Ren, Rong; Wei, Jianguo; Juárez, E.; Garrido, M.J.; Sanz, C.; Pescador, F.

doi:10.1016/j.image.2013.08.014

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…To achieve support on multiple hardware platforms and codec standards, the estimation model should provide certain generalities. Therefore, a PMC mechanism, which is widely used due to its simplicity and high efficiency [11]- [13], is combined into the RVC framework. A PMC-based estimation model is driven by the platform performance monitoring counters (PMCs), which record several energy-related events (e.g., number of instructions) while the system is running.…”

Section: Fig 1 Energy-aware Codec Frameworkmentioning

confidence: 99%

“…This scheme uses a high abstract level to represent the energy consumption. The approach of combining PMCs with a linear regression method to build an energy model was successfully applied in various cases [11]- [13], and this methodology is also expected to be suitable for video decoders.…”

Section: System-level Power/energy Estimationmentioning

confidence: 99%

“…A previous work [13] first introduced the idea of a PMCfilter and discussed the possibility of using a PMC-driven modeling methodology for estimation at the early stages of design. The PMC filter was targeted to automatically define the final PMC event set for estimation instead of precategorizing all the available events.…”

Section: The Pmc Filtermentioning

confidence: 99%

“…Analysis from previous work [27] demonstrated that the potential estimation models might produce different accuracies due to the energy behavior representativeness of the training sequences. One training sequence contains frames with various complexities and is more representative and thus more suitable to train a model.…”

Section: B Modeling Performancementioning

confidence: 99%

“…Note that although the model introduced in this paper is designed for an HEVC decoder, this methodology for model training can be used to build a model for any decoder. The model introduced in a previous work [27] was employed to estimate the energy of a H.264/AVC decoder. The energy-aware manager decides to use the corresponding model for each decoder to estimate its energy consumption.…”

Section: Energy Efficiency Improvementmentioning

confidence: 99%

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Energy-aware decoder management: a case study on RVC-CAL specification based on just-in-time adaptive decoder engine

Ren

Juárez

Sanz

et al. 2014

IEEE Trans. Consumer Electron.

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Motivated by the pervasive use of multimedia applications in battery-powered portable devices, the latest video coding standards have been developed to enable higher data compression rates and decoding efficiencies. An MPEG Reconfigurable Video Coding (RVC) framework has been proposed to efficiently support multiple codec specifications and facilitate innovation in codec design. At the same time, an energy-aware design is expected to be included in video coding standards for the purpose of energy optimization of multimedia applications, which are known to create high computational loads. This paper proposes an energy-aware decoder manager based jointly on a Just-In-Time Adaptive Decoder Engine (Jade) and an energy estimation model. The model is driven by Performance Monitoring Counters (PMCs) and is fitted by the multivariate adaptive regression splines (MARS) method.The estimation results achieve average relative errors of less than 10%. In addition, the maximal model computation overhead is 4.58%. By combining the estimation model into the RVC framework, the experimental results show good potential for energy efficiency improvement with increases of up to 21.8% based on energy considerations 1 .

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Section: Fig 1 Energy-aware Codec Frameworkmentioning

confidence: 99%

Section: System-level Power/energy Estimationmentioning

confidence: 99%

Section: The Pmc Filtermentioning

confidence: 99%

Section: B Modeling Performancementioning

confidence: 99%

Section: Energy Efficiency Improvementmentioning

confidence: 99%

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Energy-aware decoder management: a case study on RVC-CAL specification based on just-in-time adaptive decoder engine

Ren

Juárez

Sanz

et al. 2014

IEEE Trans. Consumer Electron.

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Coarse‐grained reconfiguration: dataflow‐based power management

Palumbo

Raffo

2015

IET Computers & Digital Techniques

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Power reduction in modern embedded systems design is a challenging issue exacerbated by the complexity and heterogeneity of their architecture. In the field of Reconfigurable Video Coding (RVC), to challenge these issues and cut-down time to market, dataflow-based techniques have been adopted. In particular, to master management and composability of dynamically reconfigurable systems, the authors have developed the multi-dataflow composer. Nevertheless, despite the RVC offers several different tools, in its reference design framework power management is still an open issue. To make some steps forward towards filling this gap, in this study, they address power management for coarse-grained reconfigurable systems combining structural and dynamic strategies, both to be applied at the dataflow level. © The Institution of Engineering and Technology 2015

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PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI

et al. 2019

Self Cite

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The widening of the complexity-productivity gap in application development witnessed in the last years is becoming an important issue for the developers. New design methods try to automate most designers tasks to bridge this gap. In addition, new Model of Computations (MoCs), as those dataflowbased, ease the expression of parallelism within applications, leading to higher designer productivity. Rapid prototyping design tools offer fast estimations of the soundness of design choices. A key step when prototyping an application is to have representative performance indicators to estimate the validity of those design choices. Such indicators can be obtained using hardware information, while new libraries, e.g., Performance Application Programming Interface (PAPI), ease the access to such hardware information. In this work, PAPIFY toolbox is presented as a tool to perform automatic PAPI-based instrumentation of dynamic dataflow applications. It combines PAPIFY with a dataflow Y-chart based design framework, which is called PREESM, and its companion run-time reconfiguration manager, which is called Synchronous Parameterized and Interfaced Dataflow Embedded Runtime (SPiDER). PAPIFY toolbox accounts for an automatic code generator for static and dynamic applications, a dedicated library to manage the monitoring at run-time and two User Interfaces (UIs) to ease both the configuration and the analysis of the captured run-time information. Additionally, its main advantages are 1) its capability of adapting the monitoring according to the system status and 2) adaptation of the monitoring accordingly to application workload redistribution in run-time. A thorough overhead characterization using Sobel-morpho and Stereo-matching dataflow applications shows that PAPIFY run-time monitoring overhead is up to 10%.

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A PMC-driven methodology for energy estimation in RVC-CAL video codec specifications

Cited by 12 publications

References 26 publications

Energy-aware decoder management: a case study on RVC-CAL specification based on just-in-time adaptive decoder engine

Energy-aware decoder management: a case study on RVC-CAL specification based on just-in-time adaptive decoder engine

Coarse‐grained reconfiguration: dataflow‐based power management

PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI

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