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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
Energy Efficiency across Programming Languages How Do Energy, Time, and Memory Relate? Rui Pereira HASLab/INESC TEC Universidade do Minho, Portugal ruipereira@di.uminho.pt Marco Couto HASLab/INESC TEC Universidade do Minho, Portugal marco.l.couto@inesctec.pt Francisco Ribeiro, Rui Rua HASLab/INESC TEC Universidade do Minho, Portugal fribeiro@di.uminho.pt rrua@di.uminho.pt Jácome Cunha NOVA LINCS, DI, FCT Univ. Nova de Lisboa, Portugal jacome@fct.unl.pt João Paulo Fernandes Release/LISP, CISUC Universidade de Coimbra, Portugal jpf@dei.uc.pt João Saraiva HASLab/INESC TEC Universidade do Minho, Portugal saraiva@di.uminho.pt
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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