{"title":"一种正式的代码优化方法","authors":"A. Aho, R. Sethi, J. Ullman","doi":"10.1145/800028.808486","DOIUrl":null,"url":null,"abstract":"We examine from a formal point of view some problems which arise in code optimization and present some of the results which can come from such an approach. Specifically, a set of transformations which characterize optimization algorithms for straight line code is presented. Then we present an algorithm which produces machine code for evaluating arithmetic expressions on machines with N ≥ 1 general purpose registers. We can prove that this algorithm produces optimal code when the cost criterion is the length of machine code generated.","PeriodicalId":399752,"journal":{"name":"Proceedings of a symposium on Compiler optimization","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1970-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"A formal approach to code optimization\",\"authors\":\"A. Aho, R. Sethi, J. Ullman\",\"doi\":\"10.1145/800028.808486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine from a formal point of view some problems which arise in code optimization and present some of the results which can come from such an approach. Specifically, a set of transformations which characterize optimization algorithms for straight line code is presented. Then we present an algorithm which produces machine code for evaluating arithmetic expressions on machines with N ≥ 1 general purpose registers. We can prove that this algorithm produces optimal code when the cost criterion is the length of machine code generated.\",\"PeriodicalId\":399752,\"journal\":{\"name\":\"Proceedings of a symposium on Compiler optimization\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1970-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of a symposium on Compiler optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800028.808486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of a symposium on Compiler optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800028.808486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We examine from a formal point of view some problems which arise in code optimization and present some of the results which can come from such an approach. Specifically, a set of transformations which characterize optimization algorithms for straight line code is presented. Then we present an algorithm which produces machine code for evaluating arithmetic expressions on machines with N ≥ 1 general purpose registers. We can prove that this algorithm produces optimal code when the cost criterion is the length of machine code generated.