Ranking programming languages by energy efficiency

This paper compares a large set of programming languages regarding their efficiency, including from an energetic point-of-view. Indeed, we seek to establish and analyze different rankings for based on energy efficiency. The goal being able rank efficiency is both recent, certainly deserves further studies. We have taken rigorous strict solutions 10 well defined problems, expressed in (up to) 27 languages, the known Computer Language Benchmark Game repository. repository aims compare implementation rules configurations each benchmarking problem. also built framework automatically, systematically, run, measure energy, time, memory such solutions. Ultimately, it comparisons that propose series rankings, single multiple criteria. Our results show interesting findings, as how slower/faster can consume less/more usage influences consumption. present simple way use our provide software engineers practitioners support deciding which language when concern. In addition, validate against implementations chrestomathy program repository, Rosetta Code., by reproducing methodology system. allows us understand conclusions rigorously benchmarked programs those more representative real-world implementations. Indeed do not change apart one language.