{"title":"Effectiveness of a machine-level, global optimizer","authors":"M. S. Johnson, T. Miller","doi":"10.1145/12276.13321","DOIUrl":null,"url":null,"abstract":"We present an overview of the design of a machine-code-level, global (intraprocedural) optimizer that supports several front-ends producing code for the Hewlett-Packard Precision Architecture family of machines. The basic optimization strategy is described, including information about the division of responsibilities between various components of the compiler. Optimization algorithms are described, including a discussion of the dataflow information they require. Measurements showing the collective and individual effects of various optimizer components are presented.\nThe performance data presented here was collected using a preliminary version of the optimizer. Development is continuing and further improvements are expected.","PeriodicalId":414056,"journal":{"name":"SIGPLAN Conferences and Workshops","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGPLAN Conferences and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/12276.13321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
We present an overview of the design of a machine-code-level, global (intraprocedural) optimizer that supports several front-ends producing code for the Hewlett-Packard Precision Architecture family of machines. The basic optimization strategy is described, including information about the division of responsibilities between various components of the compiler. Optimization algorithms are described, including a discussion of the dataflow information they require. Measurements showing the collective and individual effects of various optimizer components are presented.
The performance data presented here was collected using a preliminary version of the optimizer. Development is continuing and further improvements are expected.