Richard Roberts, Stefan Marr, Michael Homer, J. Noble
{"title":"Transient Typechecks Are (Almost) Free","authors":"Richard Roberts, Stefan Marr, Michael Homer, J. Noble","doi":"10.4230/LIPIcs.ECOOP.2019.5","DOIUrl":null,"url":null,"abstract":"Transient gradual typing imposes run-time type tests that typically cause a linear slowdown in programs' performance. This performance impact discourages the use of type annotations because adding types to a program makes the program slower. A virtual machine can employ standard just-in-time optimizations to reduce the overhead of transient checks to near zero. These optimizations can give gradually-typed languages performance comparable to state-of-the-art dynamic languages, so programmers can add types to their code without affecting their programs' performance.","PeriodicalId":172012,"journal":{"name":"European Conference on Object-Oriented Programming","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Conference on Object-Oriented Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/LIPIcs.ECOOP.2019.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Transient gradual typing imposes run-time type tests that typically cause a linear slowdown in programs' performance. This performance impact discourages the use of type annotations because adding types to a program makes the program slower. A virtual machine can employ standard just-in-time optimizations to reduce the overhead of transient checks to near zero. These optimizations can give gradually-typed languages performance comparable to state-of-the-art dynamic languages, so programmers can add types to their code without affecting their programs' performance.