Energy Efficiency across Programming Languages

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Energy Efficiency across Programming LanguagesHow Do Energy , Time, and Memory Relate?Rui PereiraHASLab/INESC TECUniversidade do Minho, CoutoHASLab/INESC TECUniversidade do Minho, Ribeiro, Rui RuaHASLab/INESC TECUniversidade do Minho, come CunhaNOVA LINCS, DI, FCTUniv. Nova de Lisboa, o Paulo FernandesRelease/LISP, CISUCUniversidade de Coimbra, o SaraivaHASLab/INESC TECUniversidade do Minho, paper presents a study of the runtime, memory usageand Energy consumption of twenty seven well-known soft-ware Languages . We monitor the performance of such lan-guages using ten different Programming problems, expressedin each of the Languages . Our results show interesting find-ings, such as, slower/faster Languages consuming less/moreenergy, and how memory usage influences Energy consump-tion. We show how to use our results to provide softwareengineers support to decide which language to use whenenergy Efficiency is a Concepts Software and its engineering Soft-ware performance;General Programming Languages ;KeywordsEnergy Efficiency , Programming Languages , Lan-guage Benchmarking, Green SoftwareACM Reference Format:Rui Pereira, Marco Couto, Francisco Ribeiro, Rui Rua, J come Cunha,Jo o Paulo Fernandes, and Jo o Saraiva.

is influenced by the quality of its compiler, virtual machine, garbage collector, available libraries, etc. Indeed, a software program may become faster by improving its source code, but also by "just" optimizing its libraries and/or its compiler. In this paper we analyze the performance of twenty seven software languages.

  Programming, Language, Machine, Sarco, Efficiency, Energy, Energy efficiency across programming languages