Abstract
This paper presents a study of the runtime, memory usage and energy consumption of twenty seven well-known software languages. We monitor the performance of such languages using ten different programming problems, expressed in each of the languages. Our results show interesting findings, such as, slower/faster languages consuming less/more energy, and how memory usage influences energy consumption. We show how to use our results to provide software engineers support to decide which language to use when energy efficiency is a concern.
Original language | English |
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Title of host publication | SLE 2017 - Proceedings of the 10th ACM SIGPLAN International Conference on Software Language Engineering, co-located with SPLASH 2017 |
Publisher | ACM - Association for Computing Machinery |
Pages | 256-267 |
Number of pages | 12 |
ISBN (Electronic) | 9781450355254 |
DOIs | |
Publication status | Published - 2017 |
Event | 10th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2017 - Vancouver, Canada Duration: 23 Oct 2017 → 24 Oct 2017 |
Conference
Conference | 10th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2017 |
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Country/Territory | Canada |
City | Vancouver |
Period | 23/10/17 → 24/10/17 |
Keywords
- Energy Efficiency
- Green Software
- Language Benchmarking
- Programming Languages