Towards a Green Ranking for Programming Languages

dc.contributor.author Marco Linhares Couto en
dc.contributor.author Rui Alexandre Pereira en
dc.contributor.author Francisco José Ribeiro en
dc.contributor.author Rua,R en
dc.contributor.author João Alexandre Saraiva en
dc.date.accessioned 2018-01-05T09:55:19Z
dc.date.available 2018-01-05T09:55:19Z
dc.date.issued 2017 en
dc.description.abstract While in the past the primary goal to optimize software was the run time optimization, nowadays there is a growing awareness of the need to reduce energy consumption. Additionally, a growing number of developers wish to become more energy-aware when programming and feel a lack of tools and the knowledge to do so. In this paper we define a ranking of energy efficiency in programming languages. We consider a set of computing problems implemented in ten well-known programming languages, and monitored the energy consumed when executing each language. Our preliminary results show that although the fastest languages tend to be the lowest consuming ones, there are other interesting cases where slower languages are more energy efficient than faster ones. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/5498
dc.identifier.uri http://dx.doi.org/10.1145/3125374.3125382 en
dc.language eng en
dc.relation 5597 en
dc.relation 7074 en
dc.relation 6187 en
dc.relation 5974 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Towards a Green Ranking for Programming Languages en
dc.type conferenceObject en
dc.type Publication en
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