{"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}
引用次数: 1
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.