{"title":"计算阵列的复杂性和性能","authors":"S. Nadhamuni, J. Aravena","doi":"10.1109/SSST.1988.17074","DOIUrl":null,"url":null,"abstract":"The authors use a case study to analyze the tradeoffs between speed and complexity in systolic array operation. First, a theoretical lower bound for performance is established. The use of currently available systolic arrays is considered. These arrays feature advanced characteristics such as nonplanar interconnections and multimode processing elements The arrays are provided with additional features to increase computational speed. The best performance obtained is still inferior to the theoretical optimum. To complement the study, the requirements of an architecture to achieve optimal performance are established.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Complexity and performance of computational arrays\",\"authors\":\"S. Nadhamuni, J. Aravena\",\"doi\":\"10.1109/SSST.1988.17074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors use a case study to analyze the tradeoffs between speed and complexity in systolic array operation. First, a theoretical lower bound for performance is established. The use of currently available systolic arrays is considered. These arrays feature advanced characteristics such as nonplanar interconnections and multimode processing elements The arrays are provided with additional features to increase computational speed. The best performance obtained is still inferior to the theoretical optimum. To complement the study, the requirements of an architecture to achieve optimal performance are established.<<ETX>>\",\"PeriodicalId\":345412,\"journal\":{\"name\":\"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1988.17074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1988.17074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complexity and performance of computational arrays
The authors use a case study to analyze the tradeoffs between speed and complexity in systolic array operation. First, a theoretical lower bound for performance is established. The use of currently available systolic arrays is considered. These arrays feature advanced characteristics such as nonplanar interconnections and multimode processing elements The arrays are provided with additional features to increase computational speed. The best performance obtained is still inferior to the theoretical optimum. To complement the study, the requirements of an architecture to achieve optimal performance are established.<>