{"title":"矢量数据流架构","authors":"H. Ahmed","doi":"10.1109/PARBSE.1990.77195","DOIUrl":null,"url":null,"abstract":"The author presents a vector data-flow (VDF) architecture which is based on the following design philosophy: increasing data granularity, whenever possible, by grouping together ordered sequences of data into logical structures called vectors; increasing node granularity by grouping together nodes, according to a partitioning algorithm, to form logical structures called tasks; and supporting efficient execution of both vector and task structures by designing a dedicated hardware level. The VDF processor based on this scheme is described, and simulation results are presented.<<ETX>>","PeriodicalId":389644,"journal":{"name":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A vector dataflow architecture\",\"authors\":\"H. Ahmed\",\"doi\":\"10.1109/PARBSE.1990.77195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The author presents a vector data-flow (VDF) architecture which is based on the following design philosophy: increasing data granularity, whenever possible, by grouping together ordered sequences of data into logical structures called vectors; increasing node granularity by grouping together nodes, according to a partitioning algorithm, to form logical structures called tasks; and supporting efficient execution of both vector and task structures by designing a dedicated hardware level. The VDF processor based on this scheme is described, and simulation results are presented.<<ETX>>\",\"PeriodicalId\":389644,\"journal\":{\"name\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARBSE.1990.77195\",\"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. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARBSE.1990.77195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The author presents a vector data-flow (VDF) architecture which is based on the following design philosophy: increasing data granularity, whenever possible, by grouping together ordered sequences of data into logical structures called vectors; increasing node granularity by grouping together nodes, according to a partitioning algorithm, to form logical structures called tasks; and supporting efficient execution of both vector and task structures by designing a dedicated hardware level. The VDF processor based on this scheme is described, and simulation results are presented.<>