{"title":"并行处理系统的符号综合","authors":"James J. Liu, M. Ercegovac","doi":"10.1109/IPPS.1993.262827","DOIUrl":null,"url":null,"abstract":"The authors derive high-level parallel processing arrays for matrix computations using symbolic transformations. They propose a graphical language MGD (Mesh Graph Descriptor) as the basis for the transformations. The input to the synthesis system is the single-assignment form of matrix algorithms and the output is a structure of the synthesized parallel arrays. The synthesized arrays produced range from fully-parallel systolic arrays to limited-size parallel arrays. The approach is concise, verifiable, and easy to use. An example of LU decomposition illustrates the approach.<<ETX>>","PeriodicalId":248927,"journal":{"name":"[1993] Proceedings Seventh International Parallel Processing Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Symbolic synthesis of parallel processing systems\",\"authors\":\"James J. Liu, M. Ercegovac\",\"doi\":\"10.1109/IPPS.1993.262827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors derive high-level parallel processing arrays for matrix computations using symbolic transformations. They propose a graphical language MGD (Mesh Graph Descriptor) as the basis for the transformations. The input to the synthesis system is the single-assignment form of matrix algorithms and the output is a structure of the synthesized parallel arrays. The synthesized arrays produced range from fully-parallel systolic arrays to limited-size parallel arrays. The approach is concise, verifiable, and easy to use. An example of LU decomposition illustrates the approach.<<ETX>>\",\"PeriodicalId\":248927,\"journal\":{\"name\":\"[1993] Proceedings Seventh International Parallel Processing Symposium\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings Seventh International Parallel Processing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPPS.1993.262827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings Seventh International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1993.262827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors derive high-level parallel processing arrays for matrix computations using symbolic transformations. They propose a graphical language MGD (Mesh Graph Descriptor) as the basis for the transformations. The input to the synthesis system is the single-assignment form of matrix algorithms and the output is a structure of the synthesized parallel arrays. The synthesized arrays produced range from fully-parallel systolic arrays to limited-size parallel arrays. The approach is concise, verifiable, and easy to use. An example of LU decomposition illustrates the approach.<>