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Other literature type . Article . 2021 . Peer-reviewed
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A Flexible Tool for Estimating Applications Performance and Energy Consumption Through Static Analysis

Authors: Marantos, Charalampos; Salapas, Konstantinos; Papadopoulos, Lazaros; Soudris, Dimitrios;

A Flexible Tool for Estimating Applications Performance and Energy Consumption Through Static Analysis

Abstract

The design requirements of modern applications that target embedded systems, such as the need for high performance and low energy consumption, impose challenges on developers. Software tools capable of providing performance and energy consumption estimations are useful for addressing these challenges. Such tools aim to reduce development time and alleviate the time-to-market pressure. In this work, we propose a flexible tool that enables the estimation of performance and energy consumption of the application on embedded devices, providing a complete methodology based on which the user can add estimation models for various platforms. In contrast to existing tools that either rely on dynamic instrumentation or require detailed modeling of the hardware, the proposed tool leverages static analysis techniques applied at instruction level coupled with data-driven regression models. The proposed method is tested using a widely used benchmark suite for evaluation.

Subjects by Vocabulary

Microsoft Academic Graph classification: Consumption (economics) Computer science business.industry Suite Distributed computing Work (physics) Energy consumption Static analysis Software Benchmark (computing) Dynamic instrumentation business

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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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8
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46
105
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