{"title":"Application of PGAS Programming to Power Grid Simulation","authors":"B. Palmer","doi":"10.1109/PAW.2016.10","DOIUrl":null,"url":null,"abstract":"This paper will describe the application of the PGAS Global Arrays (GA) library to power grid simulations. The GridPACK™ framework has been designed to enable power grid engineers to develop parallel simulations of the power grid by providing a set of templates and libraries that encapsulate most of the details of parallel programming in higher level abstractions. The communication portions of the framework are implemented using a combination of message-passing (MPI) and one-sided communication (GA). This paper will provide a brief overview of GA and describe in detail the implementation of collective hash tables, which are used in many power grid applications to match data with a previously distributed network.","PeriodicalId":383847,"journal":{"name":"2016 PGAS Applications Workshop (PAW)","volume":"279 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 PGAS Applications Workshop (PAW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAW.2016.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper will describe the application of the PGAS Global Arrays (GA) library to power grid simulations. The GridPACK™ framework has been designed to enable power grid engineers to develop parallel simulations of the power grid by providing a set of templates and libraries that encapsulate most of the details of parallel programming in higher level abstractions. The communication portions of the framework are implemented using a combination of message-passing (MPI) and one-sided communication (GA). This paper will provide a brief overview of GA and describe in detail the implementation of collective hash tables, which are used in many power grid applications to match data with a previously distributed network.
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