{"title":"算法实现的能耗分析","authors":"M. Rashid, Luca Ardito, Marco Torchiano","doi":"10.1109/ESEM.2015.7321198","DOIUrl":null,"url":null,"abstract":"Context: Mobile Devices, typically battery driven, require new efforts to improve the energy efficiency of both hardware and software designs. Goal: The goal of this work is to analyze the energy efficiency of different sorting algorithms implementations. Method: We set up an experiment on an ARM based device, measuring the energy consumption of different sorting algorithms implemented in different programming languages. Result: The algorithms and languages exhibit significantly different energy consumption, the ARM assembly language implementation of counting sort is the greenest solution. Conclusion: We provide the basic information to select algorithms and identified the main factors affecting energy consumption.","PeriodicalId":258843,"journal":{"name":"2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Energy Consumption Analysis of Algorithms Implementations\",\"authors\":\"M. Rashid, Luca Ardito, Marco Torchiano\",\"doi\":\"10.1109/ESEM.2015.7321198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context: Mobile Devices, typically battery driven, require new efforts to improve the energy efficiency of both hardware and software designs. Goal: The goal of this work is to analyze the energy efficiency of different sorting algorithms implementations. Method: We set up an experiment on an ARM based device, measuring the energy consumption of different sorting algorithms implemented in different programming languages. Result: The algorithms and languages exhibit significantly different energy consumption, the ARM assembly language implementation of counting sort is the greenest solution. Conclusion: We provide the basic information to select algorithms and identified the main factors affecting energy consumption.\",\"PeriodicalId\":258843,\"journal\":{\"name\":\"2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESEM.2015.7321198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESEM.2015.7321198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Consumption Analysis of Algorithms Implementations
Context: Mobile Devices, typically battery driven, require new efforts to improve the energy efficiency of both hardware and software designs. Goal: The goal of this work is to analyze the energy efficiency of different sorting algorithms implementations. Method: We set up an experiment on an ARM based device, measuring the energy consumption of different sorting algorithms implemented in different programming languages. Result: The algorithms and languages exhibit significantly different energy consumption, the ARM assembly language implementation of counting sort is the greenest solution. Conclusion: We provide the basic information to select algorithms and identified the main factors affecting energy consumption.