A Quantitative Evaluation of the Contribution of Native Code to Java Workloads

Walter Binder, J. Hulaas, Philippe Moret
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引用次数: 24

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
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本机代码对Java工作负载贡献的定量评估
许多用于Java的性能分析工具专注于跟踪已执行的字节码,但在确定本机代码库的具体贡献方面提供的支持很少。本文介绍并评估了一种用于描述Java应用程序执行的本机代码数量的可移植方法。基于JVM工具接口(JVMTI)的分析代理准确地跟踪字节码和本机代码之间的所有运行时转换。它依赖于JVMTI事件、Java本机接口(JNI)函数拦截、字节码检测和硬件性能计数器的组合
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