{"title":"编译器优化:转换工具竞赛的一个案例","authors":"Sebastian Buchwald, Edgar Jakumeit","doi":"10.4204/EPTCS.74.2","DOIUrl":null,"url":null,"abstract":"An optimizing compiler consists of a front end parsing a textual programming language into an intermediate representation (IR), a middle end performing optimizations on the IR, and a back end lowering the IR to a target representation (TR) built of operations supported by the target hardware. In modern compiler construction graph-based IRs are employed. Optimization and lowering tasks can then be implemented with graph transformation rules. This case provides two compiler tasks to evaluate the participating tools regarding performance.","PeriodicalId":266655,"journal":{"name":"Transformation Tool Contest","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Compiler Optimization: A Case for the Transformation Tool Contest\",\"authors\":\"Sebastian Buchwald, Edgar Jakumeit\",\"doi\":\"10.4204/EPTCS.74.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optimizing compiler consists of a front end parsing a textual programming language into an intermediate representation (IR), a middle end performing optimizations on the IR, and a back end lowering the IR to a target representation (TR) built of operations supported by the target hardware. In modern compiler construction graph-based IRs are employed. Optimization and lowering tasks can then be implemented with graph transformation rules. This case provides two compiler tasks to evaluate the participating tools regarding performance.\",\"PeriodicalId\":266655,\"journal\":{\"name\":\"Transformation Tool Contest\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transformation Tool Contest\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4204/EPTCS.74.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transformation Tool Contest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4204/EPTCS.74.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compiler Optimization: A Case for the Transformation Tool Contest
An optimizing compiler consists of a front end parsing a textual programming language into an intermediate representation (IR), a middle end performing optimizations on the IR, and a back end lowering the IR to a target representation (TR) built of operations supported by the target hardware. In modern compiler construction graph-based IRs are employed. Optimization and lowering tasks can then be implemented with graph transformation rules. This case provides two compiler tasks to evaluate the participating tools regarding performance.
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