{"title":"本机代码对Java工作负载贡献的定量评估","authors":"Walter Binder, J. Hulaas, Philippe Moret","doi":"10.1109/IISWC.2006.302745","DOIUrl":null,"url":null,"abstract":"Many performance analysis tools for Java focus on tracking executed bytecodes, but provide little support in determining the specific contribution of native code libraries. This paper introduces and assesses a portable approach for characterizing the amount of native code executed by Java applications. A profiling agent based on the JVM Tool Interface (JVMTI) accurately keeps track of all runtime transitions between bytecode and native code. It relies on a combination of JVMTI events, Java Native Interface (JNI) function interception, bytecode instrumentation, and hardware performance counters","PeriodicalId":222041,"journal":{"name":"2006 IEEE International Symposium on Workload Characterization","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"A Quantitative Evaluation of the Contribution of Native Code to Java Workloads\",\"authors\":\"Walter Binder, J. Hulaas, Philippe Moret\",\"doi\":\"10.1109/IISWC.2006.302745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many performance analysis tools for Java focus on tracking executed bytecodes, but provide little support in determining the specific contribution of native code libraries. This paper introduces and assesses a portable approach for characterizing the amount of native code executed by Java applications. A profiling agent based on the JVM Tool Interface (JVMTI) accurately keeps track of all runtime transitions between bytecode and native code. It relies on a combination of JVMTI events, Java Native Interface (JNI) function interception, bytecode instrumentation, and hardware performance counters\",\"PeriodicalId\":222041,\"journal\":{\"name\":\"2006 IEEE International Symposium on Workload Characterization\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Symposium on Workload Characterization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISWC.2006.302745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Symposium on Workload Characterization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISWC.2006.302745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Quantitative Evaluation of the Contribution of Native Code to Java Workloads
Many performance analysis tools for Java focus on tracking executed bytecodes, but provide little support in determining the specific contribution of native code libraries. This paper introduces and assesses a portable approach for characterizing the amount of native code executed by Java applications. A profiling agent based on the JVM Tool Interface (JVMTI) accurately keeps track of all runtime transitions between bytecode and native code. It relies on a combination of JVMTI events, Java Native Interface (JNI) function interception, bytecode instrumentation, and hardware performance counters
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