Java Virtual Machine Profiler Interface.

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Bibliographic Details
Title: Java Virtual Machine Profiler Interface.
Authors: Viswanathan, Deeps, Liang, Sheng
Source: IBM Systems Journal. 2000, Vol. 39 Issue 1, p82. 14p. 1 Diagram.
Subjects: Programming languages software, Java programming language, Computer software development, Java programming language software
Abstract: We present the Java Trademark Virtual Machine Profiler Interface (JVMPI), which defines a general-purpose and portable mechanism for obtaining comprehensive profiling data from the Java virtual machine. We show that it is extensible, nonintrusive, and powerful enough to suit the needs of different profilers and virtual machine implementations. With the JVMPI, most profiler vendors will not need to build custom instrumentation in the Java virtual machine. In addition, we solve challenges to profiler design and implementation posed by the multithreading and garbage collection support provided by the Java virtual machine. Profilers based on the JVMPI can produce thread-aware CPU time profiles, uncover heavy memory allocation sites, detect unnecessary object retention, pinpoint scalability problems caused by high monitor contention, reveal thread deadlocks, and perform interactive profiling with minimum overhead. We also describe HPROF, a profiler based on JVMPI, developed by us to demonstrate the power of JVMPI. [ABSTRACT FROM AUTHOR]
Copyright of IBM Systems Journal is the property of IBM Corporation/IBM Journals and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 2860674
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Java Virtual Machine Profiler Interface.
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  Data: <searchLink fieldCode="AR" term="%22Viswanathan%2C+Deeps%22">Viswanathan, Deeps</searchLink><br /><searchLink fieldCode="AR" term="%22Liang%2C+Sheng%22">Liang, Sheng</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IBM+Systems+Journal%22">IBM Systems Journal</searchLink>. 2000, Vol. 39 Issue 1, p82. 14p. 1 Diagram.
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  Data: <searchLink fieldCode="DE" term="%22Programming+languages+software%22">Programming languages software</searchLink><br /><searchLink fieldCode="DE" term="%22Java+programming+language%22">Java programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Java+programming+language+software%22">Java programming language software</searchLink>
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  Data: We present the Java Trademark Virtual Machine Profiler Interface (JVMPI), which defines a general-purpose and portable mechanism for obtaining comprehensive profiling data from the Java virtual machine. We show that it is extensible, nonintrusive, and powerful enough to suit the needs of different profilers and virtual machine implementations. With the JVMPI, most profiler vendors will not need to build custom instrumentation in the Java virtual machine. In addition, we solve challenges to profiler design and implementation posed by the multithreading and garbage collection support provided by the Java virtual machine. Profilers based on the JVMPI can produce thread-aware CPU time profiles, uncover heavy memory allocation sites, detect unnecessary object retention, pinpoint scalability problems caused by high monitor contention, reveal thread deadlocks, and perform interactive profiling with minimum overhead. We also describe HPROF, a profiler based on JVMPI, developed by us to demonstrate the power of JVMPI. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IBM Systems Journal is the property of IBM Corporation/IBM Journals and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1147/sj.391.0082
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              Text: 2000
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