{"title":"基于模板的结构化集合","authors":"J. Nolte, M. Sato, Y. Ishikawa","doi":"10.1109/IPDPS.2000.846025","DOIUrl":null,"url":null,"abstract":"Collective operations on distributed data sets foster a high-level data-parallel programming style that eases many aspects of parallel programming significantly. In this paper we describe how higher-order collective operations on distributed object sets can be introduced in a structured way by means of reusable topology classes and C++ templates.","PeriodicalId":206541,"journal":{"name":"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Template based structured collections\",\"authors\":\"J. Nolte, M. Sato, Y. Ishikawa\",\"doi\":\"10.1109/IPDPS.2000.846025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collective operations on distributed data sets foster a high-level data-parallel programming style that eases many aspects of parallel programming significantly. In this paper we describe how higher-order collective operations on distributed object sets can be introduced in a structured way by means of reusable topology classes and C++ templates.\",\"PeriodicalId\":206541,\"journal\":{\"name\":\"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPS.2000.846025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPS.2000.846025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collective operations on distributed data sets foster a high-level data-parallel programming style that eases many aspects of parallel programming significantly. In this paper we describe how higher-order collective operations on distributed object sets can be introduced in a structured way by means of reusable topology classes and C++ templates.