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A Portable and Customizable Profiling Framework for Java Based on Bytecode Instruction Counting

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Programming Languages and Systems (APLAS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3780))

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Abstract

Prevailing profilers for Java, which rely on standard, native-code profiling interfaces, are not portable, give imprecise results due to serious measurement perturbation, and cause excessive overheads. In contrast, program transformations allow to generate reproducible profiles in a fully portable way with significantly less overhead. This paper presents a profiling framework that instruments Java programs at the bytecode level to build context-sensitive execution profiles at runtime. The profiling framework includes an exact profiler as well as a sampling profiler. User-defined profiling agents can be written in pure Java, too, in order to customize the runtime processing of profiling data.

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References

  1. Ammons, G., Ball, T., Larus, J.R.: Exploiting hardware performance counters with flow and context sensitive profiling. In: PLDI 1997: Proceedings of the ACM SIGPLAN 1997 conference on Programming language design and implementation, pp. 85–96. ACM Press, New York (1997)

    Chapter  Google Scholar 

  2. Anderson, J., Berc, L., Dean, J., Ghemawat, S., Henzinger, M., Leung, S.-T., Sites, R., Vandervoorde, V., Waldspurger, C., Weihl, W.: Continuous profiling: Where have all the cycles gone? ACM Transactions on Computer Systems 15(4) (November 1997)

    Google Scholar 

  3. Arnold, M., Ryder, B.G.: A framework for reducing the cost of instrumented code. In: SIGPLAN Conference on Programming Language Design and Implementation, pp. 168–179 (2001)

    Google Scholar 

  4. Ball, T., Larus, J.R.: Optimally profiling and tracing programs. ACM Transactions on Programming Languages and Systems 16(4), 1319–1360 (1994)

    Article  Google Scholar 

  5. Ball, T., Larus, J.R.: Efficient path profiling. In: International Symposium on Microarchitecture, pp. 46–57 (1996)

    Google Scholar 

  6. Binder, W., Hulaas, J.: A portable CPU-management framework for Java. IEEE Internet Computing 8(5), 74–83 (2004)

    Article  Google Scholar 

  7. Binder, W., Hulaas, J.G., Villazón, A.: Portable resource control in Java. ACM SIGPLAN Notices 36(11), 139–155 (2001); Proceedings of the 2001 ACM SIGPLAN Conference on Object Oriented Programming, Systems, Languages and Applications (OOPSLA 2001)

    Article  Google Scholar 

  8. Choi, J.-D., Grove, D., Hind, M., Sarkar, V.: Efficient and precise modeling of exceptions for the analysis of Java programs. In: Proceedings of the ACM SIGPLAN–SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, pp. 21–31. ACM Press, New York (1999)

    Chapter  Google Scholar 

  9. Dmitriev, M.: Profiling Java applications using code hotswapping and dynamic call graph revelation. In: WOSP 2004: Proceedings of the Fourth International Workshop on Software and Performance, pp. 139–150. ACM Press, New York (2004)

    Chapter  Google Scholar 

  10. Dufour, B., Driesen, K., Hendren, L., Verbrugge, C.: Dynamic metrics for Java. ACM SIGPLAN Notices 38(11), 149–168 (2003)

    Article  Google Scholar 

  11. Feller, P.: Value profiling for instructions and memory locations. Master Thesis CS1998-581, University of California, Sa Diego (April 1998)

    Google Scholar 

  12. Hulaas, J., Binder, W.: Program transformations for portable CPU accounting and control in Java. In: Proceedings of PEPM 2004 (2004 ACM SIGPLAN Symposium on Partial Evaluation & Program Manipulation), Verona, Italy, August 24–25, pp. 169–177 (2004)

    Google Scholar 

  13. Larus, J.R., Ball, T.: Rewriting executable files to measure program behavior. Software–Practice and Experience 24(2), 197–218 (1994)

    Article  Google Scholar 

  14. Liang, S., Viswanathan, D.: Comprehensive profiling support in the Java virtual machine. In: Proceedings of the 5th USENIX Conference on Object-Oriented Technologies and Systems (COOTS 1999), Berkeley, CA, May 3–7, pp. 229–240. USENIX Association (1999)

    Google Scholar 

  15. Sun Microsystems, Inc. Java Virtual Machine Profiler Interface (JVMPI). Web pages at http://java.sun.com/j2se/1.4.2/docs/guide/jvmpi/

  16. Sun Microsystems, Inc. JVM Tool Interface (JVMTI). Web pages at http://java.sun.com/j2se/1.5.0/docs/guide/jvmti/

  17. The Standard Performance Evaluation Corporation. SPEC JVM98 Benchmarks. Web pages at http://www.spec.org/osg/jvm98/

  18. Whaley, J.: A portable sampling-based profiler for Java Virtual Machines. In: Proceedings of the ACM 2000 Conference on Java Grande, June 2000, pp. 78–87. ACM Press, New York (2000)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015, Lausanne, Switzerland

    Walter Binder

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  1. Walter Binder
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Editor information

Editors and Affiliations

  1. Seoul National University, Korea

    Kwangkeun Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Binder, W. (2005). A Portable and Customizable Profiling Framework for Java Based on Bytecode Instruction Counting. In: Yi, K. (eds) Programming Languages and Systems. APLAS 2005. Lecture Notes in Computer Science, vol 3780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575467_13

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  • DOI: https://doi.org/10.1007/11575467_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29735-2

  • Online ISBN: 978-3-540-32247-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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