SPLASH 2017 (series) / SLE 2017 (series) / Research Papers /
Energy Efficiency across Programming Languages: How do Energy, Time, and Memory Relate?
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. Finally, we show how to use our results to provide software engineers support to decide which language to use when energy efficiency is a concern.
Tue 24 OctDisplayed time zone: Tijuana, Baja California change
Tue 24 Oct
Displayed time zone: Tijuana, Baja California change
15:30 - 17:00 | |||
15:30 25mTalk | FlowSpec: Declarative Dataflow Analysis Specification SLE DOI File Attached | ||
15:55 25mTalk | Metacasanova: An Optimized Meta-compiler for Domain-Specific Languages SLE Francesco Di Giacomo Università Ca' Foscari, Mohamed Abbadi Hogeschool Rotterdam, Agostino Cortesi Università Ca' Foscari Venezia, Pieter Spronck Tilburg University, Giuseppe Maggiore Hogeschool Rotterdam DOI | ||
16:20 25mTalk | Robust Programs with Filtered Iterators SLE Jiasi Shen Massachusetts Institute of Technology, Martin C. Rinard Massachusetts Institute of Technology DOI | ||
16:45 25mTalk | An Introduction to the Software Language Engineering Body of Knowledge SLE Vadim Zaytsev Raincode Labs, Belgium | ||
17:10 10mTalk | Energy Efficiency across Programming Languages: How do Energy, Time, and Memory Relate? SLE Rui Pereira HASLab/INESC TEC & Universidade do Minho, Marco Couto HASLab/INESC TEC & Universidade do Minho, Francisco Ribeiro HASLab/INESC TEC & Universidade do Minho, Rui Rua HASLab/INESC TEC & Universidade do Minho, Jácome Cunha NOVA-LINCS - Universidade Nova de Lisboa, João Paulo Fernandes Release/LISP, CISUC, João Saraiva University of Minho, Portugal DOI Media Attached |