{"title":"What Makes Software Energy-Efficient?: Make it Faster","authors":"Hiroyuki Matsuo, S. Matsumoto, S. Kusumoto","doi":"10.1109/COMPSAC.2017.264","DOIUrl":null,"url":null,"abstract":"In order to reduce software energy consumption, a lot of studies have been carried out focusing on the difference of implementation, such as API and algorithm. However, we hypothesize that there is a strong correlation between total energy consumption of a program and duration of its execution. If this hypothesis is correct, reducing energy consumption is equal to decreasing duration. Experimental results reveal that there is a strong positive correlation between them, and its correlation coefficient is higher than 0.9. We also find that memory usage is weakly correlated with total energy consumption. As a result, we conclude that if developers want to reduce software energy consumption, they should firstly decrease duration of execution, and secondly reduce memory usage.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"72 1","pages":"274-275"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2017.264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to reduce software energy consumption, a lot of studies have been carried out focusing on the difference of implementation, such as API and algorithm. However, we hypothesize that there is a strong correlation between total energy consumption of a program and duration of its execution. If this hypothesis is correct, reducing energy consumption is equal to decreasing duration. Experimental results reveal that there is a strong positive correlation between them, and its correlation coefficient is higher than 0.9. We also find that memory usage is weakly correlated with total energy consumption. As a result, we conclude that if developers want to reduce software energy consumption, they should firstly decrease duration of execution, and secondly reduce memory usage.