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Abstract This paper presents a study of the runtime, memory usage and energy consumption of twenty seven well-known soft- ware languages. We monitor the performance of such lan- guages using ten different programming problems, expressed in each of the languages. Our results show interesting find- ings, such as, slower/faster languages consuming less/more energy, and how memory usage influences energy consump- tion. We show how to use our results to provide software engineers support to decide which language to use when energy efficiency is a concern.

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Abstract This paper presents a study of the runtime, memory usage and energy consumption of twenty seven well-known soft- ware languages. We monitor the performance of such lan- guages using ten different programming problems, expressed in each of the languages. Our results show interesting find- ings, such as, slower/faster languages consuming less/more energy, and how memory usage influences energy consump- tion. We show how to use our results to provide software engineers support to decide which language to use when energy efficiency is a concern.
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vruz (vruz@mastodon.social)'s status on Sunday, 24-Mar-2024 01:14:37 JST vruz

Greenest programming languages according to this paper.
"Energy Efficiency across Programming Languages: How does Energy, Time and Memory Relate?"
Website:
https://sites.google.com/view/energy-efficiency-languages
[PDF]
https://greenlab.di.uminho.pt/wp-content/uploads/2017/10/sleFinal.pdf
#comsci #programming #golang #ruby #chapel #cpp #java #python #rust #rustlang

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