{"title":"自己动手虚拟内存翻译","authors":"H. Alam, Tianhao Zhang, M. Erez, Yoav Etsion","doi":"10.1145/3079856.3080209","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the Do-It-Yourself virtual memory translation (DVMT) architecture as a flexible complement for current hardware-fixed translation flows. DVMT decouples the virtual-to-physical mapping process from the access permissions, giving applications freedom in choosing mapping schemes, while maintaining security within the operating system. Furthermore, DVMT is designed to support virtualized environments, as a means to collapse the costly, hardware-assisted two-dimensional translations. We describe the architecture in detail and demonstrate its effectiveness by evaluating several different DVMT schemes on a range of virtualized applications with a model based on measurements from a commercial system. We show that different DVMT configurations preserve the native performance, while achieving speedups of 1.2x to 2.0x in virtualized environments.","PeriodicalId":117819,"journal":{"name":"Proceedings of the 44th Annual International Symposium on Computer Architecture","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":"{\"title\":\"Do-It-Yourself Virtual Memory Translation\",\"authors\":\"H. Alam, Tianhao Zhang, M. Erez, Yoav Etsion\",\"doi\":\"10.1145/3079856.3080209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce the Do-It-Yourself virtual memory translation (DVMT) architecture as a flexible complement for current hardware-fixed translation flows. DVMT decouples the virtual-to-physical mapping process from the access permissions, giving applications freedom in choosing mapping schemes, while maintaining security within the operating system. Furthermore, DVMT is designed to support virtualized environments, as a means to collapse the costly, hardware-assisted two-dimensional translations. We describe the architecture in detail and demonstrate its effectiveness by evaluating several different DVMT schemes on a range of virtualized applications with a model based on measurements from a commercial system. We show that different DVMT configurations preserve the native performance, while achieving speedups of 1.2x to 2.0x in virtualized environments.\",\"PeriodicalId\":117819,\"journal\":{\"name\":\"Proceedings of the 44th Annual International Symposium on Computer Architecture\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"55\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 44th Annual International Symposium on Computer Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3079856.3080209\",\"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 the 44th Annual International Symposium on Computer Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3079856.3080209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we introduce the Do-It-Yourself virtual memory translation (DVMT) architecture as a flexible complement for current hardware-fixed translation flows. DVMT decouples the virtual-to-physical mapping process from the access permissions, giving applications freedom in choosing mapping schemes, while maintaining security within the operating system. Furthermore, DVMT is designed to support virtualized environments, as a means to collapse the costly, hardware-assisted two-dimensional translations. We describe the architecture in detail and demonstrate its effectiveness by evaluating several different DVMT schemes on a range of virtualized applications with a model based on measurements from a commercial system. We show that different DVMT configurations preserve the native performance, while achieving speedups of 1.2x to 2.0x in virtualized environments.