{"title":"SciBy虚拟机的性能和可移植性","authors":"Rasmus Andersen, B. Vinter","doi":"10.1109/WETICE.2010.47","DOIUrl":null,"url":null,"abstract":"The Scientific Bytecode Virtual Machine is a virtual machine designed specifically for performance, security, and portability of scientific applications deployed in a Grid environment. The performance overhead normally incurred by virtual machines is mitigated using native optimized scientific libraries, security is obtained by sandboxing techniques. Lastly, by executing platform-independent bytecodes, the machine is highly portable. To evaluate the machine, we demonstrate several use-case scenarios from some of the intended application domains. Further, we show the ease of porting the machine and distributing its jobs to a variety of predominant architectures and compare the results with native execution.","PeriodicalId":426248,"journal":{"name":"2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance and Portability of the SciBy Virtual Machine\",\"authors\":\"Rasmus Andersen, B. Vinter\",\"doi\":\"10.1109/WETICE.2010.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Scientific Bytecode Virtual Machine is a virtual machine designed specifically for performance, security, and portability of scientific applications deployed in a Grid environment. The performance overhead normally incurred by virtual machines is mitigated using native optimized scientific libraries, security is obtained by sandboxing techniques. Lastly, by executing platform-independent bytecodes, the machine is highly portable. To evaluate the machine, we demonstrate several use-case scenarios from some of the intended application domains. Further, we show the ease of porting the machine and distributing its jobs to a variety of predominant architectures and compare the results with native execution.\",\"PeriodicalId\":426248,\"journal\":{\"name\":\"2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WETICE.2010.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2010.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance and Portability of the SciBy Virtual Machine
The Scientific Bytecode Virtual Machine is a virtual machine designed specifically for performance, security, and portability of scientific applications deployed in a Grid environment. The performance overhead normally incurred by virtual machines is mitigated using native optimized scientific libraries, security is obtained by sandboxing techniques. Lastly, by executing platform-independent bytecodes, the machine is highly portable. To evaluate the machine, we demonstrate several use-case scenarios from some of the intended application domains. Further, we show the ease of porting the machine and distributing its jobs to a variety of predominant architectures and compare the results with native execution.