202151 · The energy consumption (mJ/Frame) is almost steady in case of HW video decoding. Indeed, increasing the bitrate does not change a lot the energy consumption. The HDIP always tries to supply the necessary resources to avoid the energy over-consumption. In case of SW video decoding, the energy (mJ/Frame) increases as the video bitrate
201451 · In this paper we present the first empirical study on understanding the views of application programmers on software energy consumption problems. Using
2024420 · Analyzing the energy consumption of applications is a crucial step in building energy-efficient software. In this technical briefing, we detail software energy
2021720 · Learn how to use different tools to estimate the energy cost of your software on various platforms and devices. Compare the pros and cons of power
Metrics of energy consumption in software systems: a systematic literature review. S Ergasheva1,2, I Khomyakov1,2, A Kruglov1,2, G Succi12. 1 Innopolis University, Innopolis, Russia 2This research project is carried out under the support of the Russian Science Foundation Grant No 19-19-00623. E-mail: a.kruglov@innopolis .
202444 · EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption—for heating, cooling, ventilation, lighting and plug and process loads—and water use in buildings. Some of the notable features and capabilities of EnergyPlus include: Integrated, simultaneous solution
2019923 · In this work, we introduce a possible framework for software energy costs evaluation based on model analysis. We model software as Labelled Transitions
202021 · The current situation when using tight time frames and frequently changing requirements when creating software dictates the need to create a system for monitoring
202013 · Energy efficient software development is a requirement to meet software quality standards. A great number of works have been done to enhance the level of
202013 · They are generally focused on raw code data. These data can be profiled to predict SEC trends of future versions of a software. However, SEC works lack energy profiling with powerful predictive models. In this work, a deep learning-based SEC model is proposed. The model is than evaluated with 14 open-source projects.
2024512 · The cloud-based AI software platform combines big data analytics with energy efficiency to detect, analyze, and optimize energy consumption and costs while becoming more sustainable. In 2007, the company founded its operations in Barcelona, Spain, and currently operates with a Global Partner Network comprising over 150 Energy
The energy consumption of software systems is an area of increasing interest, especially for mobile application developers. A number of studies have been published that address possible optimizations of energy use and linked quality attributes such as performance. Of equal importance are, at least for commercial software systems, the protection
The current situation when using tight time frames and frequently changing requirements when creating software dictates the need to create a system for monitoring energy
Inefficient mobile software kills battery life. Yet, developers lack the tools necessary to detect and solve energy bugs in software. In addition, developers are usually tasked with the creation of software features and triaging existing bugs. This means that most developers do not have the time or resources to research, build, or employ energy debugging tools. We
2018730 · Although the energy consumption of software can be obtained by tools or models, the problem of how energy consumption is consumed is still not explained. To
New standby power consumption measurement software that conforms with the testing methods specified in the IEC62301 Ed2.0 (2011) standard and EN 50564:2011 has been introduced for the Yokogawa range of digital
2014531 · Mining questions about software energy consumption. May 2014. DOI: 10.1145/2597073.2597110. Conference: 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings. Authors
202441 · We offer a broad overview of energy considerations, along with discussions on relevant tools and techniques for software engineers. The identification of open
Researchers surveyed more than 100 programmers regarding their knowledge of software energy consumption. They found that the programmers had limited knowledge of energy efficiency, lacked knowledge of the best practices to reduce software energy consumption, and were often unsure about how software consumes energy.