{"title":"固定大小收缩阵列的设计方法","authors":"J. Bu, E. Deprettere, P. Dewilde","doi":"10.1109/ASAP.1990.145495","DOIUrl":null,"url":null,"abstract":"The authors present a methodology to design fixed-size systolic arrays. It allows a systematic and hierarchical mapping of full-size arrays to fixed-size arrays. Two processor-clustering techniques are described. They can be used to achieve the following design objectives: (1) transforming inefficient arrays into efficient arrays, (2) reducing the size of an array, (3) reducing the dimension of an array, and (4) balancing local memory and external communication of processors. A technique is described to cluster processors in such a way that the number of I/O pins of the resulting processor is independent of the number of processors that are clustered. The approach presented unifies and generalizes array reduction techniques.<<ETX>>","PeriodicalId":438078,"journal":{"name":"[1990] Proceedings of the International Conference on Application Specific Array Processors","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"67","resultStr":"{\"title\":\"A design methodology for fixed-size systolic arrays\",\"authors\":\"J. Bu, E. Deprettere, P. Dewilde\",\"doi\":\"10.1109/ASAP.1990.145495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a methodology to design fixed-size systolic arrays. It allows a systematic and hierarchical mapping of full-size arrays to fixed-size arrays. Two processor-clustering techniques are described. They can be used to achieve the following design objectives: (1) transforming inefficient arrays into efficient arrays, (2) reducing the size of an array, (3) reducing the dimension of an array, and (4) balancing local memory and external communication of processors. A technique is described to cluster processors in such a way that the number of I/O pins of the resulting processor is independent of the number of processors that are clustered. The approach presented unifies and generalizes array reduction techniques.<<ETX>>\",\"PeriodicalId\":438078,\"journal\":{\"name\":\"[1990] Proceedings of the International Conference on Application Specific Array Processors\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"67\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings of the International Conference on Application Specific Array Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.1990.145495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings of the International Conference on Application Specific Array Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.1990.145495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A design methodology for fixed-size systolic arrays
The authors present a methodology to design fixed-size systolic arrays. It allows a systematic and hierarchical mapping of full-size arrays to fixed-size arrays. Two processor-clustering techniques are described. They can be used to achieve the following design objectives: (1) transforming inefficient arrays into efficient arrays, (2) reducing the size of an array, (3) reducing the dimension of an array, and (4) balancing local memory and external communication of processors. A technique is described to cluster processors in such a way that the number of I/O pins of the resulting processor is independent of the number of processors that are clustered. The approach presented unifies and generalizes array reduction techniques.<>