{"title":"嵌入式软件设计中使用遗传技术的编译器选项自动选择","authors":"Mena Nagiub, W. Farag","doi":"10.1109/CINTI.2013.6705166","DOIUrl":null,"url":null,"abstract":"ROM size and CPU load are considered as critical resources for the software design process of the embedded software. Thus it is necessary to produce software that follows specific ROM and CPU load requirements. Compiler options play major role in the optimization of code size and CPU load of the software. Selection of the best compiler option-set that provides the required code size and CPU load is a challenging process due to the wide range of options provided by modern compilers. In this paper we are providing a new technique that enables the designers to select automatically the best compiler options set that matches their design requirements based on genetic techniques. We have also added a new genetics operator called pass-over operator to enhance the chromosomes selection for the next generation.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Automatic selection of compiler options using genetic techniques for embedded software design\",\"authors\":\"Mena Nagiub, W. Farag\",\"doi\":\"10.1109/CINTI.2013.6705166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ROM size and CPU load are considered as critical resources for the software design process of the embedded software. Thus it is necessary to produce software that follows specific ROM and CPU load requirements. Compiler options play major role in the optimization of code size and CPU load of the software. Selection of the best compiler option-set that provides the required code size and CPU load is a challenging process due to the wide range of options provided by modern compilers. In this paper we are providing a new technique that enables the designers to select automatically the best compiler options set that matches their design requirements based on genetic techniques. We have also added a new genetics operator called pass-over operator to enhance the chromosomes selection for the next generation.\",\"PeriodicalId\":439949,\"journal\":{\"name\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2013.6705166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2013.6705166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic selection of compiler options using genetic techniques for embedded software design
ROM size and CPU load are considered as critical resources for the software design process of the embedded software. Thus it is necessary to produce software that follows specific ROM and CPU load requirements. Compiler options play major role in the optimization of code size and CPU load of the software. Selection of the best compiler option-set that provides the required code size and CPU load is a challenging process due to the wide range of options provided by modern compilers. In this paper we are providing a new technique that enables the designers to select automatically the best compiler options set that matches their design requirements based on genetic techniques. We have also added a new genetics operator called pass-over operator to enhance the chromosomes selection for the next generation.