{"title":"执行流控制:简化并行应用程序的设计","authors":"Jing-Wen Jin, Xin Li, Shanzhi Chen, Yan Wang","doi":"10.1109/CCIS.2011.6045074","DOIUrl":null,"url":null,"abstract":"Google's MapReduce enables program automatic parallelization by partitioning input data and replicating functions, but it does not directly support complex parallel modes like pipeline. However, many parallel modes are helpful to optimize solution of parallel computing problem. In this paper, we propose EFC (Execution Flow Control), a novel programming model and related implementation. It supports an execution-flow control interface which makes the model more compatible with different parallel modes. It allows user to modify execution flow as needed. The new model enables simple compact design of most parallel modes.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Execution flow control: Simplified design of parallel applications\",\"authors\":\"Jing-Wen Jin, Xin Li, Shanzhi Chen, Yan Wang\",\"doi\":\"10.1109/CCIS.2011.6045074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Google's MapReduce enables program automatic parallelization by partitioning input data and replicating functions, but it does not directly support complex parallel modes like pipeline. However, many parallel modes are helpful to optimize solution of parallel computing problem. In this paper, we propose EFC (Execution Flow Control), a novel programming model and related implementation. It supports an execution-flow control interface which makes the model more compatible with different parallel modes. It allows user to modify execution flow as needed. The new model enables simple compact design of most parallel modes.\",\"PeriodicalId\":128504,\"journal\":{\"name\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2011.6045074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Execution flow control: Simplified design of parallel applications
Google's MapReduce enables program automatic parallelization by partitioning input data and replicating functions, but it does not directly support complex parallel modes like pipeline. However, many parallel modes are helpful to optimize solution of parallel computing problem. In this paper, we propose EFC (Execution Flow Control), a novel programming model and related implementation. It supports an execution-flow control interface which makes the model more compatible with different parallel modes. It allows user to modify execution flow as needed. The new model enables simple compact design of most parallel modes.
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