An Integrated Environment For the Development of Parallel Applications


The development of parallel applications is becoming increasingly important to a broad range of industries. Traditionally, parallel programming was a niche area that was primarily exploited by scientists trying to model extremely complicated physical phenomenon. It is becoming increasingly clear, however, that continued hardware performance improvements through clock scaling and feature-size reduction are simply not going to be achievable for much longer. The hardware vendor’s approach to addressing this issue is to employ parallelism through multi-processor and multi-core technologies. While there is little doubt that this approach produces scaling improvements, there are still many significant hurdles to be overcome before parallelism can be employed as a general replacement to more traditional programming techniques. The Parallel Tools Platform (PTP) Project was created in 2005 in an attempt to provide developers with new tools aimed at addressing some of the parallel development issues. Since then, the introduction of a new generation of peta-scale and many-core systems has highlighted the need for such a platform. We describe the current state of PTP, and discuss how a new generation of tools is going to be required to meet the needs of these architectures.


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  1. 1.
    E. Allen, D. Chase, J. Hallett, V. Luchangco, J.-W. Maessen, G. Steele, S. Ryu, S. Tobin-Hochstadt: The Fortress Language Specification. Available via
  2. 2.
    B. Q. Brode, C. R. Warber: DEEP: A Development Environment For Parallel Programs. Proceedings of the International Parallel Processing Symposium, 1998, pp. 588–593 Google Scholar
  3. 3.
    D. Callahan, K. Cooper, R. Hood, K. Kennedy, L. Torczon: ParaScope: A Parallel Programming Environment. Proceedings of the First International Conference on Supercomputing, Athens, Greece, June 1987 Google Scholar
  4. 4.
    R. Chandra, R. Menon, L. Dagum, D. Kohr, D. Maydan, J. McDonald: Parallel Programming in OpenMP. Morgan Kaufmann, 2000. Google Scholar
  5. 5.
    J. Cownie, A. Dunlop, S. Hellberg, A. J. G. Hey, D. Pritchard: Portable Parallel Programming Environments - The ESPRIT PPPE Project. Massively Parallel Processing Applications and Development, Netherlands, June 1994 Google Scholar
  6. 6.
    A. Frazer: CASE and its Contribution to Quality. The Institution of Electrical Engineers, London, 1993. Google Scholar
  7. 7.
    M. J. Granger, R. A. Pick: Computer-aided Software Engineering’s Impact on the Software Development Process: An Experiment. Proceedings of the 24th Hawaii International Conference on System Sciences, January 1991, pp. 28–35 Google Scholar
  8. 8.
    L. Hockstein, V. R. Basili: The ASC-Alliance Projects: A Case Study of Large-Scale Parallel Scientific Code Development. IEEE Computer, Vol. 41, No. 3, March 2008, pp. 50–58 Google Scholar
  9. 9.
    P. Kacsuk, J. C. Cunha, G. Dózsa, J. Lourenço, et al.: A Graphical Development and Debugging Environment for Parallel Programs. Parallel Computing Vol. 22, No. 13, February 1997, pp. 1747–1770 MATHCrossRefGoogle Scholar
  10. 10.
    P. H. Luckey, R. M. Pittman: Improving Software Quality Utilizing an Integrated CASE Environment. Proceedings of the IEEE National Aerospace and Electronics Conference, May 1991, pp. 665–671 Google Scholar
  11. 11.
    E. Lusk, K. Yelick: Languages for High-Productivity Computing: The DARPA HPCS Language Project. Parallel Processing Letters, Vol. 17, No. 1, pp. 89–102, 2007 CrossRefMathSciNetGoogle Scholar
  12. 12.
    MPI: A Message Passing Interface Standard, Message Passing Interface Forum. Available via, June 1995
  13. 13.
    R. J. Norman, J. F. Nunamaker Jr.: Integrated Development Environments: Technological and Behavioral Productivity Perceptions. Proceedings of the Annual Hawaii International Conference on System Sciences, January 1989, pp. 996–1003 Google Scholar
  14. 14.
    R. Numrich, J. Reid: Co-Array Fortran For Parallel Programming. In ACM Fortran Forum, Vol. 17, No. 2, pp. 1–31, 1998 CrossRefGoogle Scholar
  15. 15.
    M. Snir, P. Hochschild, D. D. Frye, K. J. Gildea: The Communication Software and Parallel Environment of the IBM SP2. IBM System Journal, IBM Corp., Vol. 34, No. 2, pp. 205–221, 1995 CrossRefGoogle Scholar
  16. 16.
    UPC Language Specification v1.2. UPC Consortium, Berkeley National Laboratory, 2005 Google Scholar
  17. 17.
    The X10 Programming Language. Available via
  18. 18.
    K. Yelick, L. Semenzato, G. Pike, C. Miyamoto, B. Liblit, A. Krishnamurthy, P. Hilfinger, S. Graham, D. Gay, P. Colella, A. Aiken: Titanium: A High-Performance Java Dialect, Concurrency: Practice and Experience. Vol. 10, pp. 825–836, 1998 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  1. 1.IBM T.J. Watson Research CenterHawthorne
  2. 2.Los Alamos National LaboratoryLos Alamos

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