{"title":"设计具有复杂处理元件的VLSI收缩阵列","authors":"Chang Nian Zhang, Alen George Law, Ali Rezazadeh","doi":"10.1109/GLSV.1991.143967","DOIUrl":null,"url":null,"abstract":"The space-time representation approach is extended to map algorithms with complex operations into systolic arrays. Several new techniques are proposed, including algorithm refinement and hardware sharing in the processing elements of the systolic arrays. Compared to existing techniques, the proposed method provides a simple and efficient approach to reducing the complexity of the processing element design and achieving higher throughput.<<ETX>>","PeriodicalId":261873,"journal":{"name":"[1991] Proceedings. First Great Lakes Symposium on VLSI","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Designing VLSI systolic arrays with complex processing elements\",\"authors\":\"Chang Nian Zhang, Alen George Law, Ali Rezazadeh\",\"doi\":\"10.1109/GLSV.1991.143967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The space-time representation approach is extended to map algorithms with complex operations into systolic arrays. Several new techniques are proposed, including algorithm refinement and hardware sharing in the processing elements of the systolic arrays. Compared to existing techniques, the proposed method provides a simple and efficient approach to reducing the complexity of the processing element design and achieving higher throughput.<<ETX>>\",\"PeriodicalId\":261873,\"journal\":{\"name\":\"[1991] Proceedings. First Great Lakes Symposium on VLSI\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings. First Great Lakes Symposium on VLSI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLSV.1991.143967\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings. First Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLSV.1991.143967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing VLSI systolic arrays with complex processing elements
The space-time representation approach is extended to map algorithms with complex operations into systolic arrays. Several new techniques are proposed, including algorithm refinement and hardware sharing in the processing elements of the systolic arrays. Compared to existing techniques, the proposed method provides a simple and efficient approach to reducing the complexity of the processing element design and achieving higher throughput.<>