{"title":"用于光学处理器阵列的蜂窝超立方体互连","authors":"C. Kuznia, A. Sawchuk","doi":"10.1364/optcomp.1991.mc2","DOIUrl":null,"url":null,"abstract":"Digital optical cellular arrays are single-instruction-multiple-data (SIMD) arrays of many low complexity (fine-grain) processing elements (PEs). The PEs themselves can be implemented by electronic or optoelectronic methods. These arrays have many general applications in numerical processing and symbolic substitution computing. They are particularly suited to bit plane images (images in which each PE represents a pixel, and each pixel takes on the value 0 or 1). In this application, each PE is referred to as a cell and is responsible for computing the output of one image pixel according to a single instruction broadcast to all PEs from a central control unit.","PeriodicalId":302010,"journal":{"name":"Optical Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cellular Hypercube Interconnections for Optical Processor Arrays\",\"authors\":\"C. Kuznia, A. Sawchuk\",\"doi\":\"10.1364/optcomp.1991.mc2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital optical cellular arrays are single-instruction-multiple-data (SIMD) arrays of many low complexity (fine-grain) processing elements (PEs). The PEs themselves can be implemented by electronic or optoelectronic methods. These arrays have many general applications in numerical processing and symbolic substitution computing. They are particularly suited to bit plane images (images in which each PE represents a pixel, and each pixel takes on the value 0 or 1). In this application, each PE is referred to as a cell and is responsible for computing the output of one image pixel according to a single instruction broadcast to all PEs from a central control unit.\",\"PeriodicalId\":302010,\"journal\":{\"name\":\"Optical Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/optcomp.1991.mc2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/optcomp.1991.mc2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cellular Hypercube Interconnections for Optical Processor Arrays
Digital optical cellular arrays are single-instruction-multiple-data (SIMD) arrays of many low complexity (fine-grain) processing elements (PEs). The PEs themselves can be implemented by electronic or optoelectronic methods. These arrays have many general applications in numerical processing and symbolic substitution computing. They are particularly suited to bit plane images (images in which each PE represents a pixel, and each pixel takes on the value 0 or 1). In this application, each PE is referred to as a cell and is responsible for computing the output of one image pixel according to a single instruction broadcast to all PEs from a central control unit.