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PINEAPL: A European project to develop a parallel numerical library for industrial applications

  • Daniela di Serafino
  • Lucia Maddalena
  • Almerico Murli
Esprit Workshop
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1300)

Abstract

PINEAPL (Parallel Industrial NumErical Applications and Portable Libraries) is an ESPRIT project, in the area of High Performance Computing and Networking, with partners from industral, academic and research organizations. The aim of the PINEAPL project is to produce a library of parallel numerical software that is relevant to a wide range of industrial applications. Therefore, the choice of the areas of numerical software is driven by the applications provided by the industrial partners. In this paper we describe the structure and the strategies of the project and report on progress so far. Moreover, as an example, we present an application provided by an industrial partner and the parallel routine that has been developed taking into account the requirements of the application.

Keywords

Industrial Partner Fast Fourier Transform Algorithm Numerical Software Library Routine Large Prime Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Carracciuolo, L., De Bono, I., De Cesare, M.L., di Serafino, D., Perla, F.: Development of a Parallel Two-dimensional Mixed-radix FFT Routine. Tech. Rep. TR-97-8, Center for Research on Parallel Computing and Supercomputers (CPS) — CNR, Naples, Italy (1997)Google Scholar
  2. 2.
    Chaitin-Chatelin, F., Fraysse, V.: Lectures on Finite Precision Computations. SIAM, Philadelphia (1996)Google Scholar
  3. 3.
    Dongarra, J.J., Whaley, R.C.: A Users' Guide to the BLAGS v 1.0. LAPACK Working Note No. 94, Technical Report CS-95-281, Department of Computer Science, University of Tennessee, 107 Ayres Hall, Knoxville, TN (1995)Google Scholar
  4. 4.
    Geist, A., Beguelin, A., Dongarra, J.J., Jiang, W., Manchek, R., Sunderam, V.: PVM: Parallel Virtual Machine. A Users' Guide and Tutorial for Networked Parallel Computing. MIT Press, Cambridge, MA (1994)Google Scholar
  5. 5.
    Krommer, A., Derakhshan, M., Hammarling, S.: Solving PDE Problems On Parallel and Distributed Computer Systems Using the NAG Parallel Library. Communication at the Conference HPCN'97, April (1997)Google Scholar
  6. 6.
    Snir, M., Otto, S.W., Huss-Lederman, S., Walker, D.W., Dongarra, J.J.: MPI: The Complete Reference. MIT Press, Cambridge, MA (1996)Google Scholar
  7. 7.
    Temperton, C.: Self-sorting Mixed-radix Fast Fourier Transforms. J. Comp. Phys. 52 (1983) 1–23Google Scholar
  8. 8.
    Van Roey, J., Van der Donk, J., Lagasse, P.E.: J. Opt. Soc. Am. 71 (1981) 803Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Daniela di Serafino
    • 1
  • Lucia Maddalena
    • 1
  • Almerico Murli
    • 1
  1. 1.Center for Research on Parallel Computing and Supercomputers (CPS) - CNRNaplesItaly

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