{"title":"电源感知计算研讨会2019特刊介绍——PACO2019","authors":"P. Benner, E. S. Quintana‐Ortí, J. Saak","doi":"10.1177/10943420211008791","DOIUrl":null,"url":null,"abstract":"Power-awareness in high-performance scientific computing has gained increased interest due to its non-negligible contributions to carbon-dioxide emissions and thus, to one of the main drivers of anthropocenic climate change. This is for instance recognized and popularized by the Green500 list, which ranks the supercomputers from the TOP500 list in terms of energy efficiency by measuring performance per Watt. In a joint project, funded 2015–2016 by the German Ministry of Education and Research (BMBF), the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany) and the Universidad de la República in Montevideo (Uruguay) investigated numerical linear algebra algorithms for applications in systems and control theory with respect to power consumption and energy efficiency. As part of this effort, a first workshop on “Power-Aware Computing (PACO 2015)” was held in Magdeburg, July 6–7, 2015. The follow-up workshop PACO 2017 took place July 5–8, 2017, at Ringberg Castle in the south of Bavaria (Germany). PACO 2019, held November 5–6, 2019, again in Magdeburg, was the third instance in this series of workshops, and this special issue is dedicated to research results presented at this workshop. The aims and scope of the PACO workshops comprise developments in power or energy savings in computational systems. The interests include, but are not strictly limited to:","PeriodicalId":54957,"journal":{"name":"International Journal of High Performance Computing Applications","volume":"35 1","pages":"209 - 210"},"PeriodicalIF":3.5000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/10943420211008791","citationCount":"0","resultStr":"{\"title\":\"Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019—PACO 2019\",\"authors\":\"P. Benner, E. S. Quintana‐Ortí, J. Saak\",\"doi\":\"10.1177/10943420211008791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power-awareness in high-performance scientific computing has gained increased interest due to its non-negligible contributions to carbon-dioxide emissions and thus, to one of the main drivers of anthropocenic climate change. This is for instance recognized and popularized by the Green500 list, which ranks the supercomputers from the TOP500 list in terms of energy efficiency by measuring performance per Watt. In a joint project, funded 2015–2016 by the German Ministry of Education and Research (BMBF), the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany) and the Universidad de la República in Montevideo (Uruguay) investigated numerical linear algebra algorithms for applications in systems and control theory with respect to power consumption and energy efficiency. As part of this effort, a first workshop on “Power-Aware Computing (PACO 2015)” was held in Magdeburg, July 6–7, 2015. The follow-up workshop PACO 2017 took place July 5–8, 2017, at Ringberg Castle in the south of Bavaria (Germany). PACO 2019, held November 5–6, 2019, again in Magdeburg, was the third instance in this series of workshops, and this special issue is dedicated to research results presented at this workshop. The aims and scope of the PACO workshops comprise developments in power or energy savings in computational systems. The interests include, but are not strictly limited to:\",\"PeriodicalId\":54957,\"journal\":{\"name\":\"International Journal of High Performance Computing Applications\",\"volume\":\"35 1\",\"pages\":\"209 - 210\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/10943420211008791\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of High Performance Computing Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1177/10943420211008791\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of High Performance Computing Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/10943420211008791","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019—PACO 2019
Power-awareness in high-performance scientific computing has gained increased interest due to its non-negligible contributions to carbon-dioxide emissions and thus, to one of the main drivers of anthropocenic climate change. This is for instance recognized and popularized by the Green500 list, which ranks the supercomputers from the TOP500 list in terms of energy efficiency by measuring performance per Watt. In a joint project, funded 2015–2016 by the German Ministry of Education and Research (BMBF), the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany) and the Universidad de la República in Montevideo (Uruguay) investigated numerical linear algebra algorithms for applications in systems and control theory with respect to power consumption and energy efficiency. As part of this effort, a first workshop on “Power-Aware Computing (PACO 2015)” was held in Magdeburg, July 6–7, 2015. The follow-up workshop PACO 2017 took place July 5–8, 2017, at Ringberg Castle in the south of Bavaria (Germany). PACO 2019, held November 5–6, 2019, again in Magdeburg, was the third instance in this series of workshops, and this special issue is dedicated to research results presented at this workshop. The aims and scope of the PACO workshops comprise developments in power or energy savings in computational systems. The interests include, but are not strictly limited to:
期刊介绍:
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