{"title":"MPI通信与计算重叠的用户定义代码转换方法","authors":"Yasuharu Hayashi, H. Takizawa, Hiroaki Kobayashi","doi":"10.1109/CANDAR.2016.0094","DOIUrl":null,"url":null,"abstract":"The Xevolver framework has been developed to enable application programmers to define their own code translation rules outside of their codes so that they can express platform-specific optimizations separately from algorithm-level application codes. Due to the diversity of HPC node architectures, the Xevolver framework has so far mainly been used to separate node-level code optimizations from application codes. However, user-defined code transformation rules are also potentially useful for optimizing MPI applications without messing up their codes. Therefore, this paper shows a case study of using the Xevolver framework to optimize MPI applications through customizable code transformations without loss of high performance portability, and discusses the benefits of the framework.","PeriodicalId":322499,"journal":{"name":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A User-Defined Code Transformation Approach to Overlapping MPI Communication with Computation\",\"authors\":\"Yasuharu Hayashi, H. Takizawa, Hiroaki Kobayashi\",\"doi\":\"10.1109/CANDAR.2016.0094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Xevolver framework has been developed to enable application programmers to define their own code translation rules outside of their codes so that they can express platform-specific optimizations separately from algorithm-level application codes. Due to the diversity of HPC node architectures, the Xevolver framework has so far mainly been used to separate node-level code optimizations from application codes. However, user-defined code transformation rules are also potentially useful for optimizing MPI applications without messing up their codes. Therefore, this paper shows a case study of using the Xevolver framework to optimize MPI applications through customizable code transformations without loss of high performance portability, and discusses the benefits of the framework.\",\"PeriodicalId\":322499,\"journal\":{\"name\":\"2016 Fourth International Symposium on Computing and Networking (CANDAR)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Fourth International Symposium on Computing and Networking (CANDAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CANDAR.2016.0094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDAR.2016.0094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A User-Defined Code Transformation Approach to Overlapping MPI Communication with Computation
The Xevolver framework has been developed to enable application programmers to define their own code translation rules outside of their codes so that they can express platform-specific optimizations separately from algorithm-level application codes. Due to the diversity of HPC node architectures, the Xevolver framework has so far mainly been used to separate node-level code optimizations from application codes. However, user-defined code transformation rules are also potentially useful for optimizing MPI applications without messing up their codes. Therefore, this paper shows a case study of using the Xevolver framework to optimize MPI applications through customizable code transformations without loss of high performance portability, and discusses the benefits of the framework.
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