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Interfaces and implementations of random number generators for Java Grande applications

  • Workshop: Java in HPC
  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

The Java Grande Forum aims to drive improvements to the Java language and its standard libraries in order that Java may be efficiently used for large-scale scientific applications, particularly on high-performance computers. Random number generators are one of the most commonly used numerical library functions in applications of this kind. For the current random number generator provided within Java, neither the implementation nor the interfaces are adequate to meet the needs of some Java Grande applications, such as Monte Carlo simulations. We present a preliminary proposal for an API for accessing a random number generator within a Java scientific software library for supporting Java Grande applications. A reference implementation of the proposed API is described, and we discuss some implementation and performance issues. Mechanisms for efficiently handling concurrency are also discussed.

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References

  1. K. Binder ed., Monte Carlo Methods in Statistical Physics, Springer-Verlag, Berlin, 1986.

    MATH  Google Scholar 

  2. R.F. Boisert et al., Developing numerical libraries in Java, Proc. of ACM Workshop in Java for High-Performance Network Computing, Stanford, February 1998, http://www.cs.ucsb.edu/conferences/java98/program.html.

    Google Scholar 

  3. Bryan Carpenter et al., MPI for Java-Position Document and Draft API Specification, Java Grande Forum Technical Report JGF-TR-03, November 1998, http://www.npac.syr.edu/projects/pcrc/reports/MPIposition/position.ps.

    Google Scholar 

  4. P.D. Coddington, Analysis of Random Number Generators Using Monte Carlo Simulation. Int. J. Mod. Phys. C 5, 547 (1994).

    Article  Google Scholar 

  5. Paul D. Coddington, Random Number Generators for Parallel Computers, The NHSE Review, http://nhse.cs.rice.edu/NHSEreview/, 1996 Volume, Second Issue.

    Google Scholar 

  6. P.D. Coddington, J.A. Mathew and K.A. Hawick, Random number generators for Java Grande, http://acsys.adelaide.edu.au/projects/javagrande/random/.

    Google Scholar 

  7. HPJava Project, http://www.npac.syr.edu/projects/pcrc/HPJava/.

    Google Scholar 

  8. F. James, A review of pseudorandom number generators. Comp. Phys. Comm. 60, 329 (1990).

    Article  Google Scholar 

  9. The Java Grande Forum, http://www.javagrande.org/.

    Google Scholar 

  10. Java Grande Forum, Making Java Work for High-End Computing, Java Grande Forum technical report JGF-TR-1, http://www.javagrande.org/reports.htm.

    Google Scholar 

  11. D.E. Knuth, The Art of Computer Programming Vol. 2: Seminumerical Methods, Addison-Wesley, Reading, Mass., 1981.

    Google Scholar 

  12. P. L'Ecuyer, Random numbers for simulation, Comm. ACM 33:10, 85 (1990).

    Article  Google Scholar 

  13. P. L'Ecuyer, Efficient and portable combined random number generators. Comm. ACM 31:6, 742 (1988).

    Article  MathSciNet  Google Scholar 

  14. P. L'Ecuyer, F. Blouin, and R. Couture, A Search for Good Multiple Recursive Generators, ACM Trans. on Modeling and Computer Simulation 3, 87 (1993).

    Article  Google Scholar 

  15. P. L'Ecuyer and T.H. Andres, A Random Number Generator Based on the Combination of Four LCGs, Mathematics and Computers in Simulation 44, 99 (1997).

    Article  MathSciNet  Google Scholar 

  16. G.A. Marsaglia, A current view of random number generators, in Computational Science and Statistics: The Interface, ed. L. Balliard, Elsevier, Amsterdam, 1985.

    Google Scholar 

  17. G.A. Marsaglia, A. Zaman and W.-W. Tsang, Toward a universal random number generator, Stat. Prob. Lett. 9, 35 (1990).

    Article  MathSciNet  Google Scholar 

  18. S.K. Park and K.W. Miller, Random number generators: Good ones are hard to find, Comm. ACM 31:10, 1192 (1988).

    Article  MathSciNet  Google Scholar 

  19. Sun Microsystems Inc., Java Platform 1.2 API Specification, http://java.sun.com/products/jdk/1.2/docs/api/index.html.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Advanced Computational Systems Cooperative Research Centre Department of Computer Science, University of Adelaide, 5005, Adelaide, SA, Australia

    P. D. Coddington, J. A. Mathew & K. A. Hawick

Authors
  1. P. D. Coddington
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  2. J. A. Mathew
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  3. K. A. Hawick
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Coddington, P.D., Mathew, J.A., Hawick, K.A. (1999). Interfaces and implementations of random number generators for Java Grande applications. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100647

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  • DOI: https://doi.org/10.1007/BFb0100647

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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