The use of java in high performance computing: A data mining example

  • David Walker
  • Omer Rana
Workshop: Java in HPC
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1593)


The role of Java in high performance computing is discussed with particular reference to the efforts of the Java Grande Forum to develop Java into the environment of choice for large-scale, resource-hungry applications. The support provided in HP Java for the design of parallel Java programmes is outlined, and its use demonstrated with a data mining application based on a neural network.


Java Grande High Performance Java Parallel Computing Neural Networks Distributed Objects 


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  1. 1.
    See the Java numerics web page at Scholar
  2. 2.
    See the EPCC Java bencmark suite web page at Scholar
  3. 3.
    The HotSpot Virtual Machine, 1998. See the web page at Scholar
  4. 4.
    The Parallel Compiler Runtime Consortium, 1998. See the PCRC web page at Scholar
  5. 5.
    B. Carpenter, G. Fox, D. Leskiw, X. Li, and Y. Wen. Language bindings for a data-parallel runtime. Technical report, NPAC, Syracuse University, Syracuse, New York 13244, 1997.Google Scholar
  6. 6.
    J. Choi, J. J. Dongarra, S. Ostrouchov, A. Petitet, D. W. Walker, and R. C. Whaley. The design and implementation of the scaLAPACK LU, QR, and Cholesky Factorization routines. Scientific Programming, 5:173–184, 1996.Google Scholar
  7. 7.
    R. Das, M. Yusal, J. Salz, and Y.-S. Hwang. Communication optimizations for irregular scientific computations on distributed memory architectures. Journal of Parallel and Distributed Computing, 22(3):462–479, 1994.CrossRefGoogle Scholar
  8. 8.
    Java Grande Forum. Java Grande Forum report: Making Java work for high-end computing. Available at together with other JGF documents. Report presented at Java Grande Forum Panel at SC'98 conference, November 1998.Google Scholar
  9. 9.
    Sun Microsystems Ltd. Proposal for extension of Java floating point in JDK 1.2. Scholar
  10. 10.
    S.P. Midkiff, J.E. Moreira, and M. Snir. Optimizing bounds checking in Java programs. IBM Systems Journal, 37(3):409–453, 1998.CrossRefGoogle Scholar
  11. 11.
    C. Nester, M. Philippsen, and B. Haumacher. A more efficient RMI for Java. Submitted to ACM 1999 Java Grande Conference, Palo Alto, California, June 12–14, 1999.Google Scholar
  12. 12.
    M. Philippsen. Is Java ready for computational science? In Proceedings of the Second European Parallel and Distributed Systems Conference, July 1998. Vienna, Austria.Google Scholar
  13. 13.
    R. Veldema, R. van Nieuwpoort, J. Maassen, H. E. Bal, and A. Plaat. Efficient remote method invocation. Technical Report IR-450, Department of Computer Science, Vrjie Universiteit of Amsterdam, The Netherlands, September 1998.Google Scholar

Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • David Walker
    • 1
  • Omer Rana
    • 1
  1. 1.Department of Computer ScienceCardiff UniversityCardiffUK

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