{"title":"大规模CMP环境的可扩展和高效边界检查","authors":"Baik Song An, K. H. Yum, Eun Jung Kim","doi":"10.1109/PACT.2011.36","DOIUrl":null,"url":null,"abstract":"We attempt to provide an architectural support for fast and efficient bounds checking for multithread work-loads in chip-multiprocessor (CMP) environments. Bounds information sharing and smart tagging help to perform bounds checking more effectively utilizing the characteristics of a pointer. Also, the BCache architecture allows fast access to the bounds information. Simulation results show that the proposed scheme increases ¥ìPC of memory operations by 29% on average compared to the previous hardware scheme.","PeriodicalId":106423,"journal":{"name":"2011 International Conference on Parallel Architectures and Compilation Techniques","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Scalable and Efficient Bounds Checking for Large-Scale CMP Environments\",\"authors\":\"Baik Song An, K. H. Yum, Eun Jung Kim\",\"doi\":\"10.1109/PACT.2011.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We attempt to provide an architectural support for fast and efficient bounds checking for multithread work-loads in chip-multiprocessor (CMP) environments. Bounds information sharing and smart tagging help to perform bounds checking more effectively utilizing the characteristics of a pointer. Also, the BCache architecture allows fast access to the bounds information. Simulation results show that the proposed scheme increases ¥ìPC of memory operations by 29% on average compared to the previous hardware scheme.\",\"PeriodicalId\":106423,\"journal\":{\"name\":\"2011 International Conference on Parallel Architectures and Compilation Techniques\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Parallel Architectures and Compilation Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACT.2011.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Parallel Architectures and Compilation Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACT.2011.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scalable and Efficient Bounds Checking for Large-Scale CMP Environments
We attempt to provide an architectural support for fast and efficient bounds checking for multithread work-loads in chip-multiprocessor (CMP) environments. Bounds information sharing and smart tagging help to perform bounds checking more effectively utilizing the characteristics of a pointer. Also, the BCache architecture allows fast access to the bounds information. Simulation results show that the proposed scheme increases ¥ìPC of memory operations by 29% on average compared to the previous hardware scheme.
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