{"title":"水平微程序的全局压缩算法","authors":"S. U. Rao, A. Majundar","doi":"10.1145/378397.378412","DOIUrl":null,"url":null,"abstract":"Compacting microoperations of a microprogram into horizontal microinstructions require an efficient global compaction algorithm. This paper describes a global compaction algorithm which is more practical than some of the existing techniques based on Tree compaction, Trace scheduling and generalized data dependency graph. The algorithm uses a local compaction technique in which the microoperation priority function is dynamically modified.","PeriodicalId":138968,"journal":{"name":"ACM Sigmicro Newsletter","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An algorithm for global compaction of horizontal microprograms\",\"authors\":\"S. U. Rao, A. Majundar\",\"doi\":\"10.1145/378397.378412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compacting microoperations of a microprogram into horizontal microinstructions require an efficient global compaction algorithm. This paper describes a global compaction algorithm which is more practical than some of the existing techniques based on Tree compaction, Trace scheduling and generalized data dependency graph. The algorithm uses a local compaction technique in which the microoperation priority function is dynamically modified.\",\"PeriodicalId\":138968,\"journal\":{\"name\":\"ACM Sigmicro Newsletter\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigmicro Newsletter\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/378397.378412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigmicro Newsletter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/378397.378412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for global compaction of horizontal microprograms
Compacting microoperations of a microprogram into horizontal microinstructions require an efficient global compaction algorithm. This paper describes a global compaction algorithm which is more practical than some of the existing techniques based on Tree compaction, Trace scheduling and generalized data dependency graph. The algorithm uses a local compaction technique in which the microoperation priority function is dynamically modified.