{"title":"多核平台的递归驱动并行代码生成","authors":"R. Collins, Bharadwaj Vellore, L. Carloni","doi":"10.1109/DATE.2010.5457214","DOIUrl":null,"url":null,"abstract":"We present Huckleberry, a tool for automatically generating parallel implementations for multi-core platforms from sequential recursive divide-and-conquer programs. The recursive programming model is a good match for parallel systems because it highlights the temporal and spatial locality of data use. Recursive algorithms are used by Huckleberry's code generator not only to automatically divide a problem up into smaller tasks, but also to derive lower-level parts of the implementation, such as data distribution and inter-core synchronization mechanisms. We apply Huckleberry to a multi-core platform based on the Cell BE processor and show how it generates parallel code for a variety of sequential benchmarks.","PeriodicalId":432902,"journal":{"name":"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Recursion-driven parallel code generation for multi-core platforms\",\"authors\":\"R. Collins, Bharadwaj Vellore, L. Carloni\",\"doi\":\"10.1109/DATE.2010.5457214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Huckleberry, a tool for automatically generating parallel implementations for multi-core platforms from sequential recursive divide-and-conquer programs. The recursive programming model is a good match for parallel systems because it highlights the temporal and spatial locality of data use. Recursive algorithms are used by Huckleberry's code generator not only to automatically divide a problem up into smaller tasks, but also to derive lower-level parts of the implementation, such as data distribution and inter-core synchronization mechanisms. We apply Huckleberry to a multi-core platform based on the Cell BE processor and show how it generates parallel code for a variety of sequential benchmarks.\",\"PeriodicalId\":432902,\"journal\":{\"name\":\"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DATE.2010.5457214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DATE.2010.5457214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recursion-driven parallel code generation for multi-core platforms
We present Huckleberry, a tool for automatically generating parallel implementations for multi-core platforms from sequential recursive divide-and-conquer programs. The recursive programming model is a good match for parallel systems because it highlights the temporal and spatial locality of data use. Recursive algorithms are used by Huckleberry's code generator not only to automatically divide a problem up into smaller tasks, but also to derive lower-level parts of the implementation, such as data distribution and inter-core synchronization mechanisms. We apply Huckleberry to a multi-core platform based on the Cell BE processor and show how it generates parallel code for a variety of sequential benchmarks.