{"title":"PMT:功率测量工具包","authors":"Stefano Corda, B. Veenboer, Emma Tolley","doi":"10.1109/HUST56722.2022.00011","DOIUrl":null,"url":null,"abstract":"Efficient use of energy is essential for today's super-computing systems, as energy cost is generally a major component of their operational cost. Research into “green computing” is needed to reduce the environmental impact of running these systems. As such, several scientific communities are evaluating the trade-off between time-to-solution and energy-to-solution. While the runtime of an application is typically easy to measure, power consumption is not. Therefore, we present the Power Measurement Toolkit (PMT), a high-level software library capable of collecting power consumption measurements on various hardware. The library provides a standard interface to easily measure the energy use of devices such as CPUs and GPUs in critical application sections.","PeriodicalId":308756,"journal":{"name":"2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PMT: Power Measurement Toolkit\",\"authors\":\"Stefano Corda, B. Veenboer, Emma Tolley\",\"doi\":\"10.1109/HUST56722.2022.00011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient use of energy is essential for today's super-computing systems, as energy cost is generally a major component of their operational cost. Research into “green computing” is needed to reduce the environmental impact of running these systems. As such, several scientific communities are evaluating the trade-off between time-to-solution and energy-to-solution. While the runtime of an application is typically easy to measure, power consumption is not. Therefore, we present the Power Measurement Toolkit (PMT), a high-level software library capable of collecting power consumption measurements on various hardware. The library provides a standard interface to easily measure the energy use of devices such as CPUs and GPUs in critical application sections.\",\"PeriodicalId\":308756,\"journal\":{\"name\":\"2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HUST56722.2022.00011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HUST56722.2022.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient use of energy is essential for today's super-computing systems, as energy cost is generally a major component of their operational cost. Research into “green computing” is needed to reduce the environmental impact of running these systems. As such, several scientific communities are evaluating the trade-off between time-to-solution and energy-to-solution. While the runtime of an application is typically easy to measure, power consumption is not. Therefore, we present the Power Measurement Toolkit (PMT), a high-level software library capable of collecting power consumption measurements on various hardware. The library provides a standard interface to easily measure the energy use of devices such as CPUs and GPUs in critical application sections.