Energy efficiency across programming languages: how do energy, time, and memory relate?

Pereira, Rui; Couto, Marco; Ribeiro, Francisco; Rua, Rui; Cunha, Jácome; Fernandes, João Paulo; Saraiva, João

doi:10.1145/3136014.3136031

Cited by 134 publications

(95 citation statements)

References 36 publications

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“…• Programming languages should provide coding mechanisms to easily implement energy patterns without compromising maintainability. Previous work has already started addressing energy-efficiency concerns in programming languages [24], [25]. Hopefully, these efforts can be ported to the official mobile programming languages (e.g., Java, Kotlin, Swift, etc.).…”

Section: Discussionmentioning

confidence: 99%

Do Energy-Oriented Changes Hinder Maintainability?

Cruz

Abreu

Grundy

et al. 2019

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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Energy efficiency is a crucial quality requirement for mobile applications. However, improving energy efficiency is far from trivial as developers lack the knowledge and tools to aid in this activity. In this paper we study the impact of changes to improve energy efficiency on the maintainability of Android applications. Using a dataset containing 539 energy efficiencyoriented commits, we measure maintainability -as computed by the Software Improvement Group's web-based source code analysis service Better Code Hub (BCH) -before and after energy efficiency-related code changes. Results show that in general improving energy efficiency comes with a significant decrease in maintainability. This is particularly evident in code changes to accommodate the Power Save Mode and Wakelock Addition energy patterns. In addition, we perform manual analysis to assess how real examples of energy-oriented changes affect maintainability. Our results help mobile app developers to 1) avoid common maintainability issues when improving the energy efficiency of their apps; and 2) adopt development processes to build maintainable and energy-efficient code. We also support researchers by identifying challenges in mobile app development that still need to be addressed.

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Section: Discussionmentioning

confidence: 99%

Do Energy-Oriented Changes Hinder Maintainability?

Cruz

Abreu

Grundy

et al. 2019

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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“…To be composed, the mission configuration of the two applica- AscentAcqModes : 14 Whales e v e r y 10 m i n u t e ; 15 16 # 3 . A c q u i s i t i o n modes 17 ContinuousAcqMode S e i s m i c : 18 # C o n t e n t i d e n t i c a l t o t h e o r i g i n a l a p p l i c a t i o n 19 endmode ; 20 21 ShortAcqMode Whales : 22 # C o n t e n t i d e n t i c a l t o t h e o r i g i n a l a p p l i c a t i o n 23 endmode ; tions must be the same. Acquisition modes of each application are copied into the composed application with their politics of activation defined in the coordinator.…”

Section: G Compositionmentioning

confidence: 99%

“…Low-level programming languages such as C or Ada, and real-time operating systems [17], allow to develop applications that use the platform efficiently [18], but they need a specific expertise to be used. Our contribution generates such a code to be implemented on the platform.…”

Section: State Of the Artmentioning

confidence: 99%

Model driven programming of autonomous floats for multidisciplinary monitoring of the oceans

Bonnieux

Mosser

Blay–Fornarino

et al. 2019

OCEANS 2019 - Marseille

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Monitoring of the oceans with autonomous floats is of great interest for many disciplines. Monitoring on a global scale needs a multidisciplinary approach to be affordable. For this purpose, we propose an approach that allows oceanographers from different specialities to develop applications for autonomous floats. However, developing such applications usually requires expertise in embedded systems, and they must be reliable and efficient with regards to the limited resources of the floats (e.g., energy, processing power). We have followed a Model Driven Engineering approach composed of i) a Domain Specific Language to allow oceanographers to develop applications, ii) analysis tools to ensure that applications are efficient and reliable, iii) a composition tool to allow the deployment of different applications on a same float, and iv) a code generator that produce efficient and reliable code for the float. We present our approach with a biological and a seismological application. We validate it with technical metrics and an experiment.

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“…In order to obtain a comparable, representative and extensive set of programs we have explored The Computer Language Benchmarks Game (CLBG) [12] which has been used in previous studies in the literature such as [13]. The CLBG has gathered solutions for 13 benchmark problems (Table 1).…”

Section: Experimental Designmentioning

confidence: 99%

Finding Best Compiler Options for Critical Software Using Parallel Algorithms

Luque

Alba

2018

Intelligent Distributed Computing XII

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The efficiency of a software piece is a key factor for many systems. Real-time programs, critical software, device drivers, kernel OS functions and many other software pieces which are executed thousands or even millions of times per day require a very efficient execution. How this software is built can significantly affect the run time for these programs, since the context is that of compile-once/run-many. In this sense, the optimization flags used during the compilation time are a crucial element for this goal and they could make a big difference in the final execution time. In this paper, we use parallel metaheuristic techniques to automatically decide which optimization flags should be activated during the compilation on a set of benchmarking programs. The using the appropriate flag configuration is a complex combinatorial problem, but our approach is able to adapt the flag tuning to the characteristics of the software, improving the final run times with respect to other spread practices.

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Energy efficiency across programming languages: how do energy, time, and memory relate?

Cited by 134 publications

References 36 publications

Do Energy-Oriented Changes Hinder Maintainability?

Do Energy-Oriented Changes Hinder Maintainability?

Model driven programming of autonomous floats for multidisciplinary monitoring of the oceans

Finding Best Compiler Options for Critical Software Using Parallel Algorithms

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