{"title":"绿色算法:测量碳足迹","authors":"Aslı KILIÇ, Yavuz Selim BALCIOĞLU","doi":"10.31567/ssd.1033","DOIUrl":null,"url":null,"abstract":"The effects of climate change have a significant impact on nearly every aspect of life on Earth, including human civilizations, the economy, and health. Data centers and other large-scale computing resources are among the human activities responsible for large greenhouse gas (BSG) emissions. Other human activities also contribute to this problem. Although the growth of high-performance computing has allowed many important scientific breakthroughs to be achieved, the environmental impact of this progress cannot be underestimated. This paper describes a methodological framework for consistently and reliably estimating the carbon footprint of any computer business. The system can be used to calculate the carbon footprint of any computing task. A user can measure and report the carbon footprint of calculations using a newly created web tool called the Green algorithm (www.green-algorithms.org), which is freely available to the public. However, the tool is very simple to implement within computational procedures, as it uses very little information, does not interfere with pre-written code, and can accommodate a wide variety of hardware configurations. Taken as a whole, this research offers a simple, generalizable framework, as well as an accessible tool for measuring the carbon footprint of almost any computation.","PeriodicalId":353952,"journal":{"name":"SOCIAL SCIENCE DEVELOPMENT JOURNAL","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GREEN ALGORITHM: MEASURING THE CARBON FOOTPRINT\",\"authors\":\"Aslı KILIÇ, Yavuz Selim BALCIOĞLU\",\"doi\":\"10.31567/ssd.1033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effects of climate change have a significant impact on nearly every aspect of life on Earth, including human civilizations, the economy, and health. Data centers and other large-scale computing resources are among the human activities responsible for large greenhouse gas (BSG) emissions. Other human activities also contribute to this problem. Although the growth of high-performance computing has allowed many important scientific breakthroughs to be achieved, the environmental impact of this progress cannot be underestimated. This paper describes a methodological framework for consistently and reliably estimating the carbon footprint of any computer business. The system can be used to calculate the carbon footprint of any computing task. A user can measure and report the carbon footprint of calculations using a newly created web tool called the Green algorithm (www.green-algorithms.org), which is freely available to the public. However, the tool is very simple to implement within computational procedures, as it uses very little information, does not interfere with pre-written code, and can accommodate a wide variety of hardware configurations. Taken as a whole, this research offers a simple, generalizable framework, as well as an accessible tool for measuring the carbon footprint of almost any computation.\",\"PeriodicalId\":353952,\"journal\":{\"name\":\"SOCIAL SCIENCE DEVELOPMENT JOURNAL\",\"volume\":\"139 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SOCIAL SCIENCE DEVELOPMENT JOURNAL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31567/ssd.1033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SOCIAL SCIENCE DEVELOPMENT JOURNAL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31567/ssd.1033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The effects of climate change have a significant impact on nearly every aspect of life on Earth, including human civilizations, the economy, and health. Data centers and other large-scale computing resources are among the human activities responsible for large greenhouse gas (BSG) emissions. Other human activities also contribute to this problem. Although the growth of high-performance computing has allowed many important scientific breakthroughs to be achieved, the environmental impact of this progress cannot be underestimated. This paper describes a methodological framework for consistently and reliably estimating the carbon footprint of any computer business. The system can be used to calculate the carbon footprint of any computing task. A user can measure and report the carbon footprint of calculations using a newly created web tool called the Green algorithm (www.green-algorithms.org), which is freely available to the public. However, the tool is very simple to implement within computational procedures, as it uses very little information, does not interfere with pre-written code, and can accommodate a wide variety of hardware configurations. Taken as a whole, this research offers a simple, generalizable framework, as well as an accessible tool for measuring the carbon footprint of almost any computation.