{"title":"具有仿射依赖的嵌套循环的基于特征向量的并行化","authors":"P. Lenders, Jingling Xue","doi":"10.1080/01495730108941442","DOIUrl":null,"url":null,"abstract":"This paper is concerned with parallelising a special class of nested loops with affine dependences. The data dependences of the program are captured in a so-called dependence matrix. Based on the eigenvalues and eigenvectors of this matrix, the proposed approach can generate a greater degree of DOALL parallelism than traditional unimodular transformations.","PeriodicalId":325978,"journal":{"name":"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Eigenvectors-based parallelisation of nested loops with affine dependences\",\"authors\":\"P. Lenders, Jingling Xue\",\"doi\":\"10.1080/01495730108941442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with parallelising a special class of nested loops with affine dependences. The data dependences of the program are captured in a so-called dependence matrix. Based on the eigenvalues and eigenvectors of this matrix, the proposed approach can generate a greater degree of DOALL parallelism than traditional unimodular transformations.\",\"PeriodicalId\":325978,\"journal\":{\"name\":\"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/01495730108941442\",\"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 of 3rd International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01495730108941442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Eigenvectors-based parallelisation of nested loops with affine dependences
This paper is concerned with parallelising a special class of nested loops with affine dependences. The data dependences of the program are captured in a so-called dependence matrix. Based on the eigenvalues and eigenvectors of this matrix, the proposed approach can generate a greater degree of DOALL parallelism than traditional unimodular transformations.
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