{"title":"High Performance Computing Systems for Multidimensional Digital Signal Processing","authors":"W. Alexander","doi":"10.1109/SSST.1992.712202","DOIUrl":null,"url":null,"abstract":"Application-specific computing systems are hardware and software systems designed specifically for a family of related applications. In contrast to developing algorithms to run on a general-purpose computer, application-specific system design techniques match the computing structure to the problem. Thus, application-specific computing systems can offer 100 to 1000 fold improvements in cost versus performance over general-purpose computers on applications such as signal processing, interactive graphics, heuristic search, numerical simulation, and many others. In this paper, we present a computational model for an application-specific multiprocessor system for multidimensional digital signal processing applications.","PeriodicalId":359363,"journal":{"name":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1992.712202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Application-specific computing systems are hardware and software systems designed specifically for a family of related applications. In contrast to developing algorithms to run on a general-purpose computer, application-specific system design techniques match the computing structure to the problem. Thus, application-specific computing systems can offer 100 to 1000 fold improvements in cost versus performance over general-purpose computers on applications such as signal processing, interactive graphics, heuristic search, numerical simulation, and many others. In this paper, we present a computational model for an application-specific multiprocessor system for multidimensional digital signal processing applications.